Model Context Protocol (MCP) advances agentic AI and network automation
ByPulseAugur Editorial·[350 sources]·
Multiple research papers explore the Model Context Protocol (MCP) and its applications in agentic AI. One set of papers details an MCP-enabled architecture for autonomous network lifecycle automation, demonstrating closed-loop control in IPoDWDM networks using tools like GNPy. Another paper introduces Governed MCP, a kernel-level security primitive for AI agents that enhances tool governance by interposing on tool calls, improving safety and preventing bypasses. Further research examines governance gaps in existing agent interoperability protocols, suggesting a need for an architectural layer above current standards to support governed agent communities. Additionally, MCP is highlighted as a crucial integration protocol for enterprise AI, enabling seamless data and tool access beyond AI-specific use cases, and is being applied to agentic browser automation to move beyond deterministic scripting.
AI
IMPACTMCP is emerging as a foundational protocol for agentic AI, enabling standardized tool access and enhancing network automation and security.
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Multiple arXiv papers detailing research on MCP and agentic AI protocols.
arXiv:2607.05975v1 Announce Type: cross Abstract: This demo presents an MCP-enabled agentic AI architecture for autonomous control of vendor-agnostic IPoDWDM networks. We demonstrate live end-to-end lifecycle multi-layer automation and closed-loop control using GNPy and telemetry…
arXiv:2607.05958v1 Announce Type: cross Abstract: We present a distributed, vendor-agnostic multi-MCP architecture for SDN-based automation and autonomous control of multi-vendor, multi-layer IPoDWDM networks. The framework enables E2E service lifecycle automation, closed-loop cr…
This demo presents an MCP-enabled agentic AI architecture for autonomous control of vendor-agnostic IPoDWDM networks. We demonstrate live end-to-end lifecycle multi-layer automation and closed-loop control using GNPy and telemetry, validated on a real testbed.
We present a distributed, vendor-agnostic multi-MCP architecture for SDN-based automation and autonomous control of multi-vendor, multi-layer IPoDWDM networks. The framework enables E2E service lifecycle automation, closed-loop cross-layer control using GNPy model and optical tel…
arXiv:2604.16870v2 Announce Type: replace-cross Abstract: AI agents increasingly call external tools (file system, network, APIs) through the Model Context Protocol (MCP). These tool calls are the agent's syscalls: privileged operations with side effects on shared state, yet toda…
Agent interoperability protocols (MCP, A2A, ACP, ANP, and ERC-8004) have rapidly matured to enable identity, capability discovery, tool access, and message exchange between autonomous agents. However, as enterprises deploy heterogeneous agent fleets that must make collective deci…
AWS Machine Learning Blog
TIER_1English(EN)·Rohan Lekhwani·
AI agents on Amazon Bedrock AgentCore run in the cloud, but users' tools and files live on their laptops. Learn how to build a secure MCP bridge that lets a cloud-hosted agent call local MCP servers by tunneling signed messages over the existing WebSocket connection through a bro…
AWS Machine Learning Blog
TIER_1English(EN)·Sudhanshu Hate·
Learn how Amazon Bedrock AgentCore delivers autonomous, cross-system business intelligence through configuration rather than custom code. Using pre-built MCP server connectors, fine-grained access control, and persistent memory, enterprises can query multiple data sources with na…
AWS Machine Learning Blog
TIER_1English(EN)·Ying Hou·
In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy with AWS Cloud Development Kit (AWS CDK), and connect the result to Mistral AI’s Vibe. The post also covers prerequisites, soluti…
AWS Machine Learning Blog
TIER_1English(EN)·Cami Persson·
In this post, we show how you can use Jamf’s AI Governance with Amazon Bedrock to configure, deploy, and validate managed settings for AI applications across a Mac fleet.
<p>AI agents, MCP servers, and LLM apps break the core AppSec assumption that applications do what their code says. This guide walks through a practical see-fix-protect framework: a five-layer agentic AI attack surface map, a 12-point misconfiguration checklist, an evidence-based…
<p>AI coding agents have become surprisingly capable.</p> <p>Give an agent a task and it can write the code, create files, run commands, interact with APIs, and sometimes complete an entire feature without much human intervention.</p> <p>But there is still a gap I kept running in…
Medium — MCP tag
TIER_1Español(ES)·Agustin Paturlanne·
<p>An AI video agent should not begin with a render call.</p> <p>It should first prove that it understands the engine it is about to use, the<br /> composition it selected, and the constraints that determine whether the output<br /> will be readable and safe to publish.</p> <p>Th…
<h1> MCP Servers: The Bridge Between AI Agents and Real-World Services </h1> <p>The Model Context Protocol (MCP) is a standardized way for AI agents to interact with external services using a consistent interface. Unlike traditional REST APIs, MCP provides a discoverable, tool-ba…
<h1> What is an MCP server and why AI agents need one </h1> <p>If you’ve spent any time building AI agents recently, you’ve hit the wall. You have an LLM that is brilliant at reasoning, planning, and writing code, but it is fundamentally trapped in a digital glass box. It can wri…
dev.to — MCP tag
TIER_1English(EN)·Manoranjan Rajguru·
<h1> MCP 2.0 Deep Dive: How the Stateless Protocol Revolution Changes Everything You're Building with AI Agents </h1> <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2…
<p>The Model Context Protocol (MCP) has made it easy to give AI agents tools. But when it comes to <strong>Apache DolphinScheduler</strong>, most public MCP servers stop at read-only operations — list projects, start a workflow, stop it. That's fine for a demo, not for real data-…
<p>LLMs are shockingly bad at arithmetic. Ask an agent to chain a CAC payback with a churn-adjusted LTV, convert it to EUR, and discount three years of cash flows, and you will get an answer that <em>looks</em> right and is quietly wrong. Floating point, dropped steps, and confid…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.16.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Clau…
<h2> Abstract </h2> <p>In recent AI Agent engineering practice, many development teams are shifting away from the Model Context Protocol (MCP) and adopting CLI‑based tool invocation patterns. This shift does not represent technological regression. Instead, it reflects pragmatic e…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.15.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Clau…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.14.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Clau…
<p>If you ship a Model Context Protocol (MCP) server today, your consumers are not human beings. They are autonomous agents — Claude Desktop, Cursor, Cline, Continue, LangChain, LlamaIndex. And here is the part that took me three versions to internalize:</p> <p><strong>Agents do …
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.13.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Clau…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.12.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Clau…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.11.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Clau…
<p>Picture a support engineer pasting a customer email into Claude and asking, "Why did this customer's last deployment fail?" Six months ago, the answer involved tab-switching between an admin panel, a log viewer, and a database client. Now the agent calls a tool named <code>lis…
<h1> MCP-driven deploys: 5 tasks your Claude agent should be running for you </h1> <p><strong>Published:</strong> May 17, 2026<br /> <strong>Category:</strong> AI · MCP · Operations<br /> <strong>Reading time:</strong> 8 minutes<br /> <strong>Author:</strong> NEXUS AI Team</p> <p…
<p>The first article in this series made a pair of claims. One: an AI-native product is an MCP server that lets an agent <em>do</em> things, not a chat widget that talks about them. Two: every write an agent can invoke needs idempotency and typed, recoverable errors, because agen…
<p>Keyword search picks the right tool for an AI agent 21% of the time. The router<br /> we built picks it <strong>88%</strong> of the time, while cutting the tokens spent describing<br /> those tools by <strong>99.6%</strong>. This is how we got there, including the parts we got…
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.10.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Clau…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.11.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Clau…
<h1>11,000+ MCP Servers: How TormentNexus Built the Definitive Index for the Entire AI Tooling Ecosystem</h1> <p>TormentNexus now indexes over 11,000 MCP servers from Glama, Smithery, MCP.run, npm, and GitHub Topics — all searchable in a single query. Explore how one unified MCP …
<blockquote> <p><strong>The Pain</strong>: Your agent has 20 tools — email fetching, rate calculation, contact search, quote generation. Each tool has its own interface, and every integration requires rewriting adapter code. More tools, more mess, more mis-selection.<br /> <stron…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.8.3</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.8.3</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.8.2</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.8.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.8.1</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.7.2</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.8.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.7.1</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.7.2</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
dev.to — MCP tag
TIER_1English(EN)·Matthias Kluth·
<p>Standard code coverage measures execution, not test strength. AI coding assistants generate hundreds of lines of unit tests, but often fall into the "happy path bias".</p> <p>With <strong>stryker-mcp-reporter v1.6.0</strong>, AI pair programmers (<em>Antigravity, Cursor, Claud…
Medium — MCP tag
TIER_1Русский(RU)·Kalina Bayarchimeg·
<p>I've spent a significant portion of my career looking at dashboards that nobody uses.</p> <p>Whether it was old-school CRM reports in 2005 or modern Learning Experience Platforms (LXP) today, the problem is always the same: the data is there, but it's trapped behind a UI. You …
<h3>Hook (Read This First)</h3><p>Your AI agents are costing you a fortune, and you probably don’t know why.</p><p>Without proper governance, agents make unlimited tool calls, invoke expensive models unnecessarily, and bypass security controls you spent months implementing.</p><p…
dev.to — MCP tag
TIER_1English(EN)·Programming Central·
<p>The enterprise data landscape is an intimidating maze of heterogeneous systems. On any given day, your organization relies on relational monoliths like PostgreSQL for ACID-compliant structured records, high-speed in-memory caches like Redis for real-time session states, and co…
Medium — Claude tag
TIER_1English(EN)·Richard Taujenis·
<h2> Introduction </h2> <p>Artificial Intelligence has evolved far beyond answering questions and generating code. Modern AI systems can search databases, interact with APIs, read files, execute commands, access cloud services, and even coordinate multiple tools to complete compl…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*G3eway2UaZpN-WwUN3tT7g.png" /></figure><p>I have watched SEO teams spend more time moving keyword data between tools than actually using it. The research gets done, the export happens, and then someone spends an …
dev.to — MCP tag
TIER_1English(EN)·Fernando Paladini·
<h1> Give AI Coding Agents LSP Navigation with Locus MCP </h1> <p>An AI coding agent can edit a file quickly and still misunderstand the codebase. Text search finds matching strings, but it does not reliably tell you which definition is active, which callers will be affected, or …
<h1> The Postman for MCP Servers: Why Every AI Developer Needs a Testing Workbench </h1> <p>If you've built or integrated a Model Context Protocol (MCP) server, you know the drill. You wire up a new tool, fire up Claude or Cursor, cross your fingers, and hope it responds the way …
<div class="medium-feed-item"><p class="medium-feed-snippet">A field guide to the tools available once your AI agent is wired into a real code-intelligence graph — and which ones to reach for first.</p><p class="medium-feed-link"><a href="https://medium.com/@nehajakate94/2…
<p>MCP no longer needs a protocol session for remote tool calls. The <a href="https://modelcontextprotocol.io/specification/2026-07-28/changelog" rel="noopener noreferrer">2026-07-28 specification</a> removes the initialization handshake and <code>Mcp-Session-Id</code>, then make…
<p>I run PDFHaul, a free browser and mobile PDF toolkit, as a solo founder. A few months ago I kept running into the same friction point: every time I wanted an AI assistant to help with a PDF task, I had to manually download the file, upload it somewhere, run the tool, then feed…
<blockquote> <p><em>Originally published on the <a href="https://insforge.dev/blog/inside-the-ai-agent-stack" rel="noopener noreferrer">InsForge blog</a>, written by Amitesh (Developer Advocate). Reposted here with permission.</em></p> </blockquote> <h2> Introduction </h2> <p>AI …
<p>Building an AI agent locally is an exciting first step. Running that same agent reliably in production is a different challenge.</p> <p>Once real users and external services are involved, the application needs more than working code. It needs repeatable deployments, secure con…
dev.to — MCP tag
TIER_1English(EN)·Amrendra N Mishra·
<h2> Why Automate Content Creation </h2> <p>Creating content manually for 9 channels would take 8+ hours daily. I have a full-time job as VP at JPMorgan. The math doesnt work.</p> <h2> The Pipeline </h2> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><…
<h1>Achieving Cross-Harness Tool Parity: One MCP Config for Six AI Coding Environments</h1> <p>Master cross-harness tool parity by building a single Model Context Protocol (MCP) tool that auto-configures for Claude Code, Cursor, Codex, Gemini CLI, Copilot, and Windsurf. Eliminate…
dev.to — MCP tag
TIER_1English(EN)·Programming Central·
<p>The evolution of autonomous software engineering has moved at a blistering pace. We have officially transitioned from isolated, monolithic language model loops to distributed, collaborative software ecosystems. In the early days of LLM-based tooling, an agent interacted with l…
<p>I built an MCP server that lets AI agents autonomously rent VPS servers — no human, no KYC, no card. Here's how.</p> <p>The Problem<br /> AI agents need always-on infrastructure to run 24/7. But today, provisioning a VPS requires:</p> <p>A credit card<br /> KYC verification<br…
dev.to — MCP tag
TIER_1English(EN)·Jonathan Langens·
<p><em>Part 3 of 3 — building and testing MCP agents</em></p> <p>If you've done any performance testing, you know the JMeter mindset: "is my system fast enough" is a question you answer by measuring, not guessing. Define a test plan, throw load at the system, read off the numbers…
<p><em>Originally published on <a href="https://tamiz.pro/insights/mcp-to-lsp-securing-ai-agents-rust-infrastructure" rel="noopener noreferrer">tamiz.pro</a>.</em></p> <p>The landscape of AI-assisted development is undergoing a structural shift. We are moving from isolated, promp…
<p>The <strong>Model Context Protocol update</strong> removes a cloud deployment headache that could make AI agents fail simply because a server pod restarted or traffic moved to the wrong instance.</p> <p>Released under the <strong>Agentic AI Foundation (AAIF)</strong>, a direct…
<p>Model Context Protocol (MCP) - the open standard for letting AI models talk to external tools and data sources - has gone from "interesting spec" to "actually useful" faster than most people expected. The shift is visible in practice.</p> <h2> The Core Shift: From One-Shot Pro…
dev.to — MCP tag
TIER_1English(EN)·Renato Marinho·
<p>I've spent enough time in production environments to know that most 'AI integrations' are actually just glorified copy-paste loops. You see a great piece of data in your dashboard, you manually export it as JSON, and then you paste it into Claude asking for a summary. It works…
<p>Over the last few months, I have been thinking about a simple but uncomfortable question:</p> <blockquote> <p>If AI tools are becoming part of our engineering workflow, how much access should we actually give them?</p> </blockquote> <p>It is tempting to connect an AI assistant…
<h1>The App Store Moment for AI Tools: Why 11K+ MCP Servers Signal 2026's Critical Mass</h1> <p>The indexed MCP server catalog has exploded to over 11,000 entries, creating the definitive AI tools directory. This isn't just growth; it's the inflection point where tool discovery b…
dev.to — MCP tag
TIER_1English(EN)·Sushyam Nagallapati·
<p><em>If you've heard about the Model Context Protocol (MCP) but aren't sure how to build something with it, this guide is for you.</em></p> <blockquote> <p>This article is part of my MCP series. If you are new to the topic, start with my previous article: <a href="https://dev.t…
dev.to — MCP tag
TIER_1English(EN)·Marco Gonzalez·
<p>On July 28, 2026, the <a href="https://modelcontextprotocol.io/" rel="noopener noreferrer">Model Context Protocol</a> published the most significant revision since its launch. MCP is now a stateless protocol. No more session handshakes. No more sticky load balancing. No more s…
<h1> Building Cost-Effective AI Sales Pipelines with Risk-Free Metered MCP Enrichment </h1> <p>The most efficient way to give LLMs native access to live B2B firmographics and intent data without custom middleware is by deploying an MCP-native API server that supports the Model Co…
dev.to — MCP tag
TIER_1English(EN)·kirandeepjassal-crypto·
<blockquote> <p>We built the Mattrx MCP servers in C# and ran them on Azure — but here's the quiet superpower we've been building toward the whole series: none of that ties them to a single model. The same <code>mattrx-analytics</code> server can be driven by OpenAI, by Anthropic…
<p>SideButton is an <a href="https://sidebutton.com/?utm_source=devto&utm_medium=syndication&utm_campaign=oss-release" rel="noopener noreferrer">open-source AI agent platform</a> built around an MCP server. It gives any coding agent a real browser, a workflow engine, and …
<p>Most AI tool directories suffer from two issues: they are statically hardcoded, and they break when you search by intent instead of exact keywords.</p> <p>I built AI Tool Hunter V2 to solve this—turning a basic directory into an automated discovery engine, open-source dataset …
dev.to — MCP tag
TIER_1English(EN)·Pierre- Laurent Medori·
<p>AI agents are good at writing code. What they mostly cannot do is operate the software you already run in production: publish the article, schedule the push, fulfill the order. Not because the models are incapable, but because most production apps expose no structured surface …
<p>The market is currently flooded with a wide variety of Model Context Protocol (MCP) servers. They are easy to install, making it tempting to set up dozens at once. However, having more MCP servers isn't necessarily better.</p> <p>When initialized, each MCP server injects its t…
dev.to — MCP tag
TIER_1English(EN)·Renato Marinho·
<p>I've spent enough time staring at decaying CSV exports to know that the traditional SEO workflow is fundamentally broken. You export a keyword list, you run it through some spreadsheet logic, you check for drops, and by the time you've identified a problem, the damage to your …
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/dataforseo-mcp-server/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> DataForSEO MCP Server: Connect AI Agents to Enterprise SEO Data in Real Time …
dev.to — MCP tag
TIER_1English(EN)·KRISHNA KISHOR TIRUPATI·
<p>Autonomous AI agents are no longer confined to sandboxes—they now execute real actions against databases, shells, and file systems in production. In that world, <strong>PolicyAware</strong> is the missing control plane for MCP-based tool execution, giving engineering and secur…
<h1> Building AI Agent Payments with MCP and FLAT Protocol </h1> <p>The landscape of artificial intelligence is rapidly evolving, with autonomous AI agents increasingly taking on complex tasks that require independent decision-making and interaction with external systems. A criti…
<p><em>A comparison of the leading MCP gateways for teams building agentic AI. This review covers the most capable options for centralizing tool discovery, governance, and security, with <a href="https://www.getmaxim.ai/bifrost" rel="noopener noreferrer">Bifrost</a> assessed as t…
<p><em>An AI gateway with native Model Context Protocol (MCP) support provides a unified control plane for governing both LLM requests and the external tools that AI agents use, enabling centralized security, observability, and cost management.</em></p> <p>AI agents are increasin…
<p>My agents keep needing to read email. Signup codes, verification links, password resets: every automated workflow that touches a third-party service eventually hits an inbox. There are hosted APIs for this, and they work fine until you think about what's actually in those emai…
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/hubspot-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> HubSpot MCP: Connect Your AI Agent Directly to HubSpot's CRM, Marketing, and Service To…
<h1> How to Build an AI Agent That Writes Code </h1> <p>In 2026, AI agents are the hottest topic in software development. Here's how to build one that writes code.</p> <h2> What is an AI Coding Agent? </h2> <p>An AI coding agent autonomously understands requirements, writes code,…
<p>Learn how to build a working MCP server from scratch and connect it to an AI client, step by step.</p> <h2> Introduction </h2> <p>If you've ever needed an <strong><a href="https://zignuts.com/llm-genai-services/ai-agent-development?utm_source=seo&utm_medium=backlinks&u…
Medium — Claude tag
TIER_1English(EN)·Eberechi Williams Alaobi·
<p>An AI agent on your team just deleted a customer record, moved a payment, or hit an internal API. It did it through an MCP tool, in a loop, with no human watching. The next morning, someone asks the only question that matters: which tool ran, whose access it used, and was it a…
<p>How an AI agent analyzes BTC with AlgoVault MCP</p> <p>Here's a real-world workflow showing how agents use AlgoVault:</p> <p>💡 Workflow #1: Quick BTC Check (Beginner)<br /> "Get me a trade call for BTC on the 1h timeframe"</p> <p>And here's what the live signal returned just n…
<p>AI agents are only as useful as the tools they can reach. The Model Context Protocol (MCP) changes how that connection is built - and it's worth understanding the mechanics before you wire up your next agent.</p> <h2> The Idea: One Protocol Instead of N Integrations </h2> <p>B…
<h2> BuyWhere is now agent-native </h2> <p>We just shipped the <strong>BuyWhere MCP server</strong> at <code>https://api.buywhere.ai/mcp</code> — an 8-tool Model Context Protocol endpoint that any AI agent can connect to for real-time product discovery, price comparison, and deal…
<blockquote> <p>Originally published at <a href="https://heycc.cn/en/posts/kubernetes-mcp-server-guide/" rel="noopener noreferrer">heycc.cn</a>. This is a mirrored copy — the canonical version is kept up to date at the source.</p> </blockquote> <h1> kubernetes-mcp-server: Letting…
<h2> I built a local Python MCP server with a AI Agent build on React </h2> <p>It uses the official Python MCP SDK with FastMCP and httpx for outbound API calls and supports both local stdio and Streamable HTTP transports<br /> The <strong>Streamable HTTP transport</strong> is a …
<h1> I Added an MCP Server to NPMScan for AI Coding Agents </h1> <p>AI coding agents are increasingly choosing libraries, installing dependencies, and modifying <code>package.json</code> files.</p> <p>But when an agent recommends an npm package, it may rely on model knowledge, ge…
<p>A while ago my own OpenWrt router simply stopped passing traffic, and everything in the web interface looked perfectly fine. It took me a whole afternoon to find the cause: four separate misconfigurations, each enough to stop traffic on its own, none of them visible on the pag…
<h1>The 50K-Token Trap: How Progressive MCP Tool Routing Saves Your Agents</h1> <p>Your AI agent is drowning in 50,000 tokens of tool definitions. This cripples latency and accuracy. Learn how progressive MCP tool routing injects only the 3-4 relevant tools per request, slashing …
<h1>The App Store Moment: Why 11K+ MCP Servers Signal AI Tooling's Tipping Point in 2026</h1> <p>Discover how TormentNexus's catalog of over 11,000 indexed MCP servers represents the critical mass for AI tooling. We explore the pre-2026 fragmentation, the power of the MCP standar…
<p>We connected a Slack agent to our federated search engine over the Model Context Protocol, then asked it a question only our OneDrive could answer. It searched, read the document, and replied in Slack with the coverage limits in a table and a citation that opens the exact sent…
<p>By the end of this tutorial you'll have Kong AI Gateway proxying the ˳ MCP server, with per-consumer Key Auth, rate limiting, and live usage metering flowing into Konnect M&B — ready to wire to Stripe for usage-based billing.</p> <h2> What You'll Build </h2> <p>10,000+ MCP…
<h1>11,000+ MCP Servers and Counting: Why 2026 Marks the App Store Moment for AI Tooling</h1> <p>The MCP ecosystem has crossed a critical threshold with over 11,000 indexed servers. Discover why TormentNexus is positioned as the definitive AI tools directory for navigating this e…
<p>Model Context Protocol servers have quickly become the connective tissue between AI agents and the outside world — file systems, databases, APIs, internal tools, you name it. That convenience comes with a catch: the tools, prompts, and schemas an MCP server exposes are a new k…
dev.to — MCP tag
TIER_1English(EN)·Nicolae Rotaru·
<p>You still have twelve competitor tabs open. Someone on the team checks them on Monday, forgets by Wednesday, and finds out about a rival's price cut from a prospect on a demo call.</p> <p>Competitor monitoring should not depend on whoever remembered to look. If you already wor…
<p><em>Notes from January 2026, when giving an AI agent live database access still felt reckless. Written for engineers who are about to do this, and for the leads deciding whether they should.</em></p> <h2> The moment that made me stop </h2> <p>I had just finished connecting a c…
dev.to — MCP tag
TIER_1English(EN)·Arjun Chaudhary·
<p>I've been using AI agents with MCP tools for a few months. At some point I noticed something uncomfortable: I had no idea what was happening inside them.</p> <p>An agent calls a tool. Did it succeed? How long did it take? Did the agent call the same tool 6 times because it cou…
<div class="medium-feed-item"><p class="medium-feed-snippet">Artificial Intelligence applications are rapidly moving beyond simple chatbots. Modern AI systems need access to external tools, databases…</p><p class="medium-feed-link"><a href="https://medium.com/@khalid.mtwal…
dev.to — MCP tag
TIER_1English(EN)·Renato Marinho·
<p>If you've ever spent a Tuesday afternoon digging through the Google Ads interface trying to find out why your ROAS plummeted in the last 24 hours, you know the feeling. It’s not just the complexity; it's the sheer weight of the UI. You click through layers of campaigns, ad gro…
<p>When you're serving 284 different AI tools through a single MCP (Model Context Protocol) server, the architecture challenges are... not what you'd expect.</p> <p>I've been running CHROMATIC-MCP for about a year now. Here's what I've learned about building a multi-skill AI plat…
<p>Your AI agent trusts its tools completely. That trust is the vulnerability.</p> <p>When you connect an MCP (Model Context Protocol) tool to an agent, you approve it based on its definition: the name, the description, the parameters. The agent then treats that definition as gos…
dev.to — MCP tag
TIER_1English(EN)·Robert Pelloni·
<h1>MCP Protocol Deep-Dive: How Tool Discovery Actually Works</h1> <p>Unlock the mechanics of the Model Context Protocol. We dissect the JSON-RPC handshake that enables dynamic tool discovery and build a functional MCP server in just 50 lines of Go, which TormentNexus instantly r…
Medium — MCP tag
TIER_1English(EN)·Dharavathnagaraju·
<h1>Beyond 11,000: Navigating the Unified MCP Server Catalog That's Reshaping AI Tooling</h1> <p>Explore the largest indexed catalog of over 11,000 Model Context Protocol servers. TormentNexus unifies Glama, Smithery, MCP.run, npm, and GitHub into a single, powerful search interf…
dev.to — MCP tag
TIER_1English(EN)·Manveer Chawla·
<p>Connecting an LLM to external systems has converged on an established set of open protocols that standardize communication between autonomous agents and enterprise infrastructure. However, as organizations move beyond chat interfaces into deploying multi-user production agents…
<p>Remember the Wild West of web development? Back before REST and HTTP standardized how systems talk to one another, building a modern web application meant navigating a labyrinth of proprietary remote procedure calls (RPC), CORBA implementations, and custom XML-over-TCP sockets…
<p>A team builds a support agent in an agent framework. Another team builds a finance agent. A third builds a sales operations agent. Each demo is impressive. Each agent has a prompt, a model, some memory, a few tools, and a nice workflow graph. Then the enterprise reality arrive…
<p>Every messaging channel has its own API, its own SDK, its own webhook format. Wire up WhatsApp, then SMS, then email, then Instagram… and you've built four integrations that all behave differently.</p> <p>We built <strong>SendSeven</strong> so you don't have to: <strong>one RE…
<h1> I Built an MCP Server That Gives AI Agents Real A-Share Quant Power — Here's How </h1> <blockquote> <p>Give Claude Code and Cursor access to professional-grade China A-stock analysis. Factor scoring, industry chains, and live trading signals — all through MCP.</p> </blockquo…
Medium — MCP tag
TIER_1English(EN)·Katrina Collins·
<h1> MCP Security Across 11 AI Frameworks: Our Audit Findings </h1> <blockquote> <p>Published: 2026-07-23<br /> Target: Dev.to, cross-post to r/AI_Agents<br /> Fact Check: ✅ All numbers verified from production audits and CVEs</p> </blockquote> <h2> The State of MCP Security in 2…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*KhSXjY8IVQF-duLGkzAoJA.png" /></figure><p>Hermes AI Agent is gaining popularity these days as teams explore autonomous, workflow-driven systems for research, automation, and multi-step execution. I’ve used it for…
<p>Agents are good at reasoning and bad at remembering how to talk to every data vendor. The usual pattern is a growing pile of one-off integrations: one client for markets, another for macro series, another for sanctions lists, another for weather. Each has its own auth, schema,…
Medium — Claude tag
TIER_1Português(PT)·Gabriel Varela·
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/oracle-cloud-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Oracle Cloud MCP: Automate OCI Infrastructure from Your AI Agent </h1> <p>Enterpri…
<p>AI agents are becoming more capable than simple chatbots.</p> <p>An agent can search the web, read files, query databases, create support tickets, work with GitHub repositories, send emails, and call external APIs.</p> <p>But this creates an important engineering question:</p>…
<p>I am building MarketNow — a security-first MCP marketplace with a 9-layer audit pipeline and Agent Trust Cards. The project is open and I need contributors.</p> <p>Here are 5 concrete tasks you can pick up right now. All are beginner-friendly.</p> <h2> 1. Write a Rust ATC veri…
dev.to — MCP tag
TIER_1English(EN)·kirandeepjassal-crypto·
<blockquote> <p>A web API fails loudly: a 500, a stack trace, an alert. An agent fails <em>softly</em>. It doesn't crash — it quietly takes six turns instead of two, calls the wrong tool, spends triple the tokens, and returns an answer that's subtly wrong. None of that throws an …
Medium — Claude tag
TIER_1English(EN)·astro spider·
<p>AI agents rarely fail because the demo was bad. They fail when the same workflow must run for many users, across many tools, behind real load balancers, with logs, retries, auth, and cost limits. That is where a small MCP server that worked on one laptop can turn into a produc…
dev.to — MCP tag
TIER_1English(EN)·Fernando Paladini·
<p>What if your AI assistant could list your DEV Community posts, inspect an article, and prepare a new draft without you copying content between browser tabs?</p> <p>That is exactly the kind of workflow the <strong>Model Context Protocol (MCP)</strong> enables. In this tutorial,…
<h2> The Game-Changer: Model Context Protocol (MCP) </h2> <p>If you're developing AI systems, ignoring the Model Context Protocol (MCP) might be your biggest mistake. </p> <p>MCP is reshaping how AI interacts with data, bridging gaps that often slow down innovation. With its stan…
<blockquote> <p><em>Originally published at <a href="https://www.curatedmcp.com/blog/week-2026-30" rel="noopener noreferrer">curatedmcp.com/blog/week-2026-30</a></em></p> </blockquote> <h1> MCP Ecosystem Week 30: When Your Developers' AI Tools Connect to Everything—What's in Your…
<h1> MCP Enrichment: Giving Your AI Agent a Verified Data Layer It Can Call Over MCP </h1> <p>A great rep once knew every account. Now your agents do.</p> <p>The problem is the data underneath them.</p> <p>Most AI-agent go-to-market stacks today are built on a quiet lie: the enri…
<p>If you're building tools for AI agents, you've likely come across two approaches: <strong>agent apps</strong> (installable local capability services) and <strong>MCP servers</strong> (remote tools exposed via the Model Context Protocol). They look similar on the surface — both…
<blockquote> <p>🚀 <strong>AI is becoming smarter every day. But intelligence alone isn't enough—it also needs a standardized way to communicate with tools, applications, and data.</strong></p> <p>That's exactly what <strong>Model Context Protocol (MCP)</strong> provides.</p> </bl…
dev.to — MCP tag
TIER_1English(EN)·Hiroshi Ichiyanagi·
<p>AI agents can now pay for APIs by themselves. Here’s a live endpoint that does it end-to-end on Base (USDC), and how to plug it into your agent in minutes.<br /> The problem<br /> HTTP 402 (“Payment Required”) lets an API charge per call in crypto. But most x402 endpoints make…
<p>The Model Context Protocol (MCP) has significantly improved how we integrate custom tools into AI development workflows like Cursor, Claude Code, and Windsurf. However, the current workflow introduces a repetitive bottleneck: every time you want an AI agent to interact with a …
Medium — MCP tag
TIER_1Português(PT)·David S. Fernandes·
<h1> Custom MCP servers in 2026: connect your enterprise data to any AI agent </h1> <p><strong>Summary.</strong> An AI agent is only as useful as the systems it can reach, and the Model Context Protocol (MCP) has become the standard way to connect one to your databases, internal …
dev.to — MCP tag
TIER_1English(EN)·Stephen Phillips·
<div class="medium-feed-item"><p class="medium-feed-snippet">As organizations expand their AI capabilities, one challenge continues to surface: securely connecting AI models with enterprise systems…</p><p class="medium-feed-link"><a href="https://medium.com/@conversantech.…
<p><em>A practical, end-to-end walkthrough of taking a read-only slice of an enterprise source system and exposing it to an AI agent as a set of Model Context Protocol (MCP) tools — using Azure Logic Apps, API Management, and Agent Foundry. All identifiers below are placeholders;…
<p>Exposing your data over MCP is the easy part. Designing a tool an agent uses <em>well</em> is the hard part. An agent can only use a tool it can read, so the work is shaping the tool for how the model calls it, not just for the human looking at the result. These are the techni…
<p>I've been mildly skeptical of most "AI plus design tool" integrations, mostly because so many of them turn out to be image generators dressed up as design tools — you get a picture, not a file you can actually edit.</p> <p>So when Canva and OpenAI announced an official integra…
dev.to — MCP tag
TIER_1English(EN)·Max Bantsevich·
<p>This is the part of the project I find most interesting, and the one I haven't seen done well anywhere else. It's also the core of why we built Miradorly (<a href="https://miradorly.com/?utm_source=devto&utm_medium=referral&utm_campaign=launch_2026&utm_content=part…
<h1> 3 ways to expose legacy APIs to AI agents before the 28 July 2026 MCP switch </h1> <p><strong>Summary.</strong> The Model Context Protocol specification <code>2026-07-28</code> is locked as a release candidate since 21 May 2026 and ships final on 28 July 2026. Its maintainer…
dev.to — MCP tag
TIER_1English(EN)·Matthias | StudioMeyer·
<p>Before USB-C, every device you owned had its own charger, and none of them fit each other. Then one plug won, and the drawer full of tangled adapters slowly emptied out. MCP is the same thing happening to AI, and it is quietly the most important shift in what a tool like Claud…
dev.to — Anthropic tag
TIER_1English(EN)·GTStudios·
<p>Model Context Protocol, or MCP, is rapidly becoming the universal standard for connecting AI models to external tools, data sources, and services. Developed by <a href="https://www.anthropic.com/" rel="noopener noreferrer">Anthropic</a> and released as an open specification, M…
dev.to — MCP tag
TIER_1English(EN)·Pierre- Laurent Medori·
<p>We wanted an AI agent to manage a real production app (its content, its catalog, its push notifications) natively, not through screenshots and simulated clicks. So we built an MCP server. Here's the whole thing: why, how, a real session, and where it still falls short.</p> <p>…
<p>How an AI agent analyzes BTC with AlgoVault MCP</p> <p>Here's a real-world workflow showing how agents use AlgoVault:</p> <p>💡 Workflow #1: Quick BTC Check (Beginner)<br /> "Get me a trade call for BTC on the 1h timeframe"</p> <p>And here's what the live signal returned just n…
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/azure-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Azure MCP: Give Your AI Agent Direct Access to Your Azure Infrastructure </h1> <p>Managin…
<p><em>A companion to <a href="https://dev.to/gde03/claude-code-beyond-the-prompt-part-4-your-first-mcp-server-give-claude-safe-hands-on-your-own-b8p">Part 4: your first MCP server</a> and the <a href="https://dev.to/gde03/claude-code-beyond-the-prompt-hardening-an-mcp-database-t…
<p>The Model Context Protocol is everywhere right now. Everyone is building MCP servers, connecting tools to agents, and exposing internal systems to AI clients.</p> <p>What gets less attention is the architecture behind those servers.</p> <p>An MCP server is not just a template …
Medium — Claude tag
TIER_1English(EN)·Suhani Bundela·
<p>If you are building an AI agent in your product that needs third-party API integrations (fetch a customer from Salesforce, send a Slack message, update a deal in HubSpot), you have two ways to give it tools: connect it to MCP (Model Context Protocol) servers, or define custom …
<p>I build DeviceShelf, a local-first network scanner. Its Server edition is the headless, always-on one, and as of build 1.5.3 it speaks the <a href="https://modelcontextprotocol.io" rel="noopener noreferrer">Model Context Protocol</a> (MCP). That means an assistant like Claude …
<p>If you work with SSAS, you know the drill. The data is there, the cubes are well-modeled, but actually getting answers out of them requires someone who knows DAX or MDX. For most organizations that means a small group of people becomes the bottleneck for every ad-hoc question.…
<p>Platform teams rarely operate one Kubernetes cluster.</p> <p>A more realistic environment has a management or agent cluster, several application clusters, and a growing set of operational tools that need to work across all of them.</p> <p>That creates an interesting question f…
dev.to — MCP tag
TIER_1English(EN)·Pranuthanjali@inextlabs·
<p>In today's rapidly evolving AI ecosystem, the difference between a functional AI and a transformational one lies in context. As AI capabilities grow, we must equip them with structure, relevance, and memory to make them truly intelligent. This is where Model Context Protocol (…
<h1> Building a Payment-Enabled MCP Server: Let AI Agents Pay for Skills via HTTP 402 </h1> <h2> The Problem </h2> <p>In the traditional SaaS model, users need to sign up, subscribe, and bind a credit card before they can use an AI tool. This creates high friction.</p> <p>The ans…
<p>If you've started experimenting with the Model Context Protocol (MCP), you've probably discovered that building the tool itself is only half of the work.</p> <p>Between deployment, authentication, configuration, monitoring, and updates, there's a surprising amount of infrastru…
<p><strong>MCP server patterns</strong> — the Model Context Protocol introduced by Anthropic in late 2024 — have rapidly become the standard way to expose tools and data to LLM agents. Building good MCP servers is its own discipline: poorly designed servers expose too much, leak …
<p>“Should we use MCP or a REST API?” is usually the wrong first question.</p> <p>The better question is:</p> <p>What boundary are you trying to give the agent?</p> <p>REST works well when the contract is stable, resource-oriented, and shared by normal software clients: dashboard…
dev.to — MCP tag
TIER_1English(EN)·Robert Pelloni·
<h1>Progressive MCP Tool Routing: Stop Drowning Your Agents in 50K Tokens</h1> <p>Discover how progressive MCP tool routing reduced hallucination by 40% in a 47-tool setup, slashing token overhead and boosting agent context optimization. A case study in semantic tool search and a…
<p>AI agents need money. Not metaphorically — they need to hold value, make payments, and receive compensation for work. But giving an agent a crypto wallet means managing private keys, gas fees, and DEX routing. MCP (Model Context Protocol) changes this.</p> <h2> The Problem </h…
<p>Connecting an AI agent to an MCP server is relatively easy.</p> <p>Making that agent behave reliably is the harder part.</p> <p>A production agent must decide:</p> <ul> <li>Which tools should be available?</li> <li>When should a tool be called?</li> <li>Which operations requir…
<h2> The problem </h2> <p>AI agents (Claude Desktop, Cursor, Cline) can install MCP servers to extend their capabilities. But there's no standard way for agents to:</p> <ol> <li> <strong>Discover</strong> which MCP servers exist</li> <li> <strong>Evaluate</strong> if a server is …
<p>A normal AI feature generates an answer.</p> <p>A tool-connected AI product can do something.</p> <p>It can search a company database, create a support ticket, update a project, retrieve a customer record, schedule a meeting, or trigger an internal workflow.</p> <p>This shift …
<p>I manage a warehouse. I am not a professional software engineer. But over the<br /> last several months I built and shipped a stack of AI-agent infrastructure —<br /> most of it typed on my phone during breaks and after shifts — and it's now live<br /> on the official Model Co…
dev.to — MCP tag
TIER_1English(EN)·William Weishuhn·
<p>MCP servers are becoming production dependencies.</p> <p>If an agent depends on a server, that server needs the same basic safety net as any other production integration: CI checks, security review, regression reports, and artifacts that teams can inspect when behavior changes…
<p>Serious AI-assisted development has a habit of turning into a stack of subscriptions: a coding-assistant plan, a market-data API, a backtesting service, model credits. Each one is reasonable on its own, and together they quietly become a monthly bill that also locks you into s…
dev.to — MCP tag
TIER_1English(EN)·kirandeepjassal-crypto·
<p>Here's the quiet truth about shipping agents inside a real company: the protocol was never the blocker, and neither was the connection. Identity was — and right behind it, the policy that says what that identity may do. A tool your agent can reach but isn't allowed to use is n…
Medium — Claude tag
TIER_1English(EN)·Bhupendranath Ram·
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/hugging-face-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Hugging Face MCP: Search, Run, and Deploy 500k+ AI Models Directly from Your Agent…
dev.to — MCP tag
TIER_1English(EN)·Kenneth Doster·
<h2> What are MCP Servers? </h2> <p>The Model Context Protocol (MCP) is an open standard that lets AI agents use external tools through a unified interface. Think of it as USB-C for AI — one protocol connects any AI client (Claude Desktop, Cursor, VS Code with Cline) to any tool …
<p>MCP (Model Context Protocol) lets AI assistants call external tools. Most MCP servers give your agent <em>access</em> to something — a database, a file system, a search engine.</p> <p>But what if an MCP server gave your agent <em>income</em>?</p> <h2> flat.cash: An MCP Server …
<p>Last month I watched Cursor confidently rename a field across an entire API, commit it, and open a PR. Clean diff, tests green, looked great. It had also just broken a mobile client and a partner integration that were still reading the old field name — and neither Cursor nor I…
Medium — MCP tag
TIER_1English(EN)·Rehman_Gull_Khan·
<div class="medium-feed-item"><p class="medium-feed-snippet">1. Introduction AI applications need standardized integrations because every large language model (LLM) currently connects to external…</p><p class="medium-feed-link"><a href="https://medium.com/@rehman_50195/mcp…
<p>A didactical guide to transform API calls into MCP Tools for agentic era!</p> <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaw…
Medium — MCP tag
TIER_1English(EN)·Alain Airom (Ayrom)·
<p>You have API keys in a vault, a budget dashboard, and a policy doc that lists which models are approved. Procurement signed off. On paper, enterprise AI is under control.</p> <p>So answer one question: who called which model last night, with whose budget, through which MCP too…
<h2> Hook </h2> <p>The Windows agent went silent mid-session. It had been routing tasks through ark-delegator — a cross-environment bridge that lives in WSL. But the MCP server behind it had crashed with OpenCode's last daemon restart, because it was registered as a plugin. Same …
<p>I kept running into the same annoyance building agent side projects: giving an agent DB access is easy, but the moment it needs real business logic — check inventory,<br /> process an order, apply a rule — I was back to writing and hosting a small server just for that one acti…
dev.to — MCP tag
TIER_1English(EN)·kirandeepjassal-crypto·
<p>The difference between an agent that works and one that flails is almost never the model. It's the tools. Give a capable model forty CRUD tools that mirror your REST API and it will pick the wrong one, mis-format the arguments, and drown in raw rows. Give it a dozen task-shape…
<p>I build <a href="https://www.gscwizard.com" rel="noopener noreferrer">GSC Wizard</a>, an SEO analytics tool. A while back I added an MCP (Model Context Protocol) server so people could ask an AI assistant — ChatGPT, Claude, whatever — questions about their own search and analy…
Medium — MCP tag
TIER_1English(EN)·Rodrigo Madriz·
<p>Last month we launched GoldBean, a pay-per-call MCP server with 100+ AI tools. The most common question I get: <em>'How did you actually build the payment layer?'</em></p> <p>Here's a technical deep dive into how we implemented x402 micropayments on top of an MCP server.</p> <…
dev.to — MCP tag
TIER_1English(EN)·junter1989k-ai·
<p>I run a small education business in Taiwan. When I started letting AI agents handle operations, they kept hitting the same wall: Taiwan's payment gateways and the government e-invoice system are built for humans clicking through web pages. No agent-usable API anywhere.</p> <p>…
<p>When I first heard about the Model Context Protocol (MCP), I thought: <em>finally, a standard way for AI assistants to call external tools.</em> But the more I used MCP servers, the more I noticed a gap — most were free community utilities with no monetization model. That's gr…
<p>How an AI agent analyzes BTC with AlgoVault MCP</p> <p>Here's a real-world workflow showing how agents use AlgoVault:</p> <p>💡 Workflow #1: Quick BTC Check (Beginner)<br /> "Get me a trade call for BTC on the 1h timeframe"</p> <p>And here's what the live signal returned just n…
<p>AI doesn't need another model.</p> <p>It needs a sane, reusable way to connect models to the real world: tools, data, APIs, and workflows.</p> <p>That's exactly the problem the Model Context Protocol (MCP) is solving.</p> <p>Right now, every AI product team is quietly rebuildi…
dev.to — MCP tag
TIER_1English(EN)·RoyserVillanueva·
<p>Imagine being able to ask your AI assistant to review your code on GitHub, query a database, or draft a report in your favorite productivity tool, all from a single conversation. That's exactly what the Model Context Protocol (MCP) makes possible.</p> <p>An MCP Server acts as …
<h1> How to Reduce MCP Token Usage: Designing Context-Efficient Tool Schemas to Cut Agent Brittleness in Production </h1> <p><em>Practical schema design and server-side patterns to shrink tool descriptions, slim responses, and keep your agent's context window reserved for reasoni…
<p>I read <a href="https://dev.to/chunxiaoxx">@chunxiaoxx</a>'s excellent post <a href="https://dev.to/chunxiaoxx/mcp-security-patterns-2026-gvisor-vs-firecracker-for-ai-agent-sandboxing-3hp7">MCP Security Patterns 2026: gVisor vs Firecracker for AI Agent Sandboxing</a> and wante…
<p>In 2023, an AI agent was a demo. In 2024, it was a framework. In 2025, it was a hundred incompatible frameworks. And in 2026, something genuinely new is happening: the agent world is growing a protocol stack, a set of open standards that determine how agents reach tools, talk …
<p>The unsexy part of the agent story is the part that decides whether it ships or stalls. Frontier models can plan, refactor, write tests, and read your codebase. What they can't do, on their own, is reach your real services. They don't know your Postgres schema, can't tail your…
<blockquote> <p><em><strong>Originally published on <a href="https://andrew.ooo/posts/codebase-memory-mcp-review/" rel="noopener noreferrer">andrew.ooo</a></strong> — visit the original for any updates, code snippets that aged out, or follow-up posts.</em></p> </blockquote> <h2> …
dev.to — MCP tag
TIER_1English(EN)·Mariusz Szatkowski·
<p>Every WooCommerce integration project we take on now ends with the same question from the client: "can the AI just check the store for me?" What were last month's sales, which SKUs are out of stock, has order 48821 shipped. Reasonable questions. The tempting answer is to hand …
<div class="medium-feed-item"><p class="medium-feed-snippet">Large Language Models (LLMs) like ChatGPT, Claude, and Gemini have transformed the way we interact with AI. They can write code, answer…</p><p class="medium-feed-link"><a href="https://medium.com/@ck941537/what-i…
<p>This summer i was given the opportunity to work on my BLT-MCP project with OWASP-BLT. Over the last few months, I've been working on transforming how users interact with BLT. Now it marks the midpoint of the project, and there's been some interesting development i would like t…
dev.to — MCP tag
TIER_1English(EN)·Abhijeet Singh·
<p>n8n shipped an instance-level MCP server in April 2026, and the Model Context Protocol itself is going through the biggest breaking change in its history: a release candidate published in May 2026, with the final specification scheduled for July 28, 2026. Put those two togethe…
<p><strong>Introduction</strong><br /> Recently there's been a popular open-source project on GitHub called AI-Trader (HKUDS/AI-Trader, 19.4k stars). It positions itself as an "AI-Agent-native trading platform" — not a graphical interface built for humans, but a platform where AI…
Medium — MCP tag
TIER_1English(EN)·Luoyelittledream·
<p><em>If you've heard about the Model Context Protocol (MCP) but aren't sure how to build something with it, this guide is for you.</em></p> <p>In my previous article, I explained what MCP is and why it matters. If you haven't read it yet, I recommend starting there first.</p> <…
<p>If you've been building with AI lately, you've probably noticed that "just call the LLM" doesn't cut it anymore. Real-world AI systems today are built from four core pieces that work together like a nervous system — each one solving a different limitation of the last. Let's br…
<p><strong>By Kartik Anand, Cloud & AI Architect | Agentic Systems on Azure</strong></p> <p>— -</p> <p>Every enterprise AI team is solving the same problem independently right now: how do we connect our AI agents to our data systems?</p> <p>Each team figures out the MCP conne…
<p>Most MCP servers answer a practical question:</p> <p>What can my AI agent do?</p> <p>That is a useful question. It is why the first wave of MCP adoption has focused on tools: repositories, browsers, databases, docs, search, design files, calendars, and internal systems.</p> <p…
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/tavily-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Tavily MCP: Web search built for AI agents, not humans </h1> <p>When Claude or Cursor ne…
<p>For the past two years, most of us integrated AI into our workflow using a "ping-pong" model: we write a prompt, get some code, copy-paste it, hit a bug, and paste the error back. </p> <p>But in 2026, the tech stack is shifting from simple chat interfaces to <strong>Autonomous…
<p>I've been messing around with MCP (Model Context Protocol) servers this week, and I'm excited to share what I've learned so far. If you're like me, you're probably curious about how to extend your AI capabilities without breaking the bank or sacrificing performance. Let's dive…
dev.to — MCP tag
TIER_1English(EN)·Stephen Phillips·
<p>A small-business AI agent is easy to demo and surprisingly hard to trust.</p> <p>The demo looks clean: connect the agent to email, invoices, a CRM, maybe a few n8n workflows, then ask it to chase unpaid invoices or triage customer messages. It calls the right tools. It writes …
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/neon-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Neon MCP: Let AI Safely Test and Migrate Your Production Database </h1> <p>The Neon MCP se…
dev.to — MCP tag
TIER_1English(EN)·Devam Chaudhari·
<p>As a frontend and full-stack developer who has spent the last four years building modern web applications, I’ve wired up more REST and GraphQL endpoints than I care to count. I know how to optimize a payload, handle state, and read a Swagger doc.</p> <p>But over the last year,…
<p>You will build an MCP server with three custom AI tools in 30 minutes: a database query tool, a notification tool, and a file operations tool. By the end of this tutorial, you will have a working MCP server with Zod-validated tool schemas, rate limiting, circuit breaker resili…
dev.to — MCP tag
TIER_1English(EN)·Ezequiel Casillas·
<p>Saw people on dev.to asking for tools that keep AI-generated code organized. Most agents just output files with no real architecture behind them.</p> <p>So I built Arkitect MCP, an MCP server that sits between you and the agent and pushes it toward proper software design: patt…
<p>Most "AI in [product tool]" features ship the same shape: bolt a chat agent onto the database the tool already had, expose it over MCP, call it done. Productboard's agent reads Productboard. Linear's agent reads Linear. Notion's agent reads Notion.</p> <p>That's a <strong>tool…
dev.to — MCP tag
TIER_1English(EN)·Intellibooks AI·
<p>Local AI is having another moment because the use case finally makes sense.</p> <p>A small business does not always need the smartest model in the world. It often needs a private assistant that can read the right files, draft the right response and avoid sending customer data …
<p>Most "AI + payments" stories are about humans buying things through an agent. I wanted the opposite: an <strong>anonymous AI agent that shows up, does one unit of work, and pays for it — no account, no API key, no human in the loop.</strong></p> <p>So I built it into a helpdes…
<p>Your AI coding agent can write the app. The open question is where the backend runs and who owns it afterward.</p> <p>"My agent can call a deploy tool" is no longer a differentiator. Write-capable cloud-management MCP servers are common in 2026. What matters is <em>what</em> t…
<p>Most writing about agent commerce stays at the layer-diagram altitude: rails here, settlement there, trust boundaries in between. Useful, but abstract. Today let's go to ground level and walk through what actually happens - call by call - when an AI agent trades with a strange…
Medium — Claude tag
TIER_1English(EN)·Mahendran Selvakumar·
<h1> BridgeXAPI MCP Discovery Lab </h1> <p>The Model Context Protocol (MCP) is changing how AI agents interact with software.</p> <p>Instead of hardcoding REST endpoints, AI systems can discover capabilities, inspect tool schemas, plan execution and observe results through a stan…
<p>I've spent the last few months building a form builder with an unusual bet: the <a href="https://modelcontextprotocol.io" rel="noopener noreferrer">Model Context Protocol</a> server <em>is</em> the product. There's a web dashboard, but you never have to open it. You describe a…
<p>How an AI agent analyzes BTC with AlgoVault MCP</p> <p>Here's a real-world workflow showing how agents use AlgoVault:</p> <p>💡 Workflow #1: Quick BTC Check (Beginner)<br /> "Get me a trade call for BTC on the 1h timeframe"</p> <p>And here's what the live signal returned just n…
<blockquote> <p><strong>📖 TL;DR</strong></p> <ul> <li> <strong>MCP (Model Context Protocol)</strong> connects one agent to tools, data, and APIs — a vertical link from agent down to capabilities.</li> <li> <strong>A2A (Agent2Agent)</strong> connects agents to other agents — a hor…
<blockquote> <p>How a read-only MCP layer lets AI assistants query your Payneteasy backoffice without ever moving money or touching PCI cardholder data.</p> </blockquote> <h2> What MCP is — in plain words </h2> <p>The Model Context Protocol (MCP) is an open standard for connectin…
<p>It is my pleasure to introduce <a href="https://medium.com/r/?url=https%3A%2F%2Fcafecito.tech" rel="noopener noreferrer">Project Cafecito</a>’s next product — <a href="https://developer.cafecito.tech/howtos/espresso-howto" rel="noopener noreferrer">Espresso API & MCP</a>.<…
<p>As AI agents become more capable, many of us are starting to give them access to real-world tools. Email is an obvious one. Everyone sees the benefit of an agent that can triage your inbox, respond to customers, or automate support workflows.</p> <p>Unfortunately, it's also on…
<div class="medium-feed-item"><p class="medium-feed-snippet">If you’ve ever wondered why ChatGPT sometimes “knows” things and sometimes needs access to your company’s data, this article is for you.</p><p class="medium-feed-link"><a href="https://medium…
Medium — Claude tag
TIER_1English(EN)·Neelesh Karn·
<blockquote> <p><strong>Originally published at <a href="https://hafiz.dev/blog/connect-laravel-ai-agent-to-mcp-server" rel="noopener noreferrer">hafiz.dev</a></strong></p> </blockquote> <p>Most Laravel MCP tutorials teach you to build a server. You expose your app's tools, an AI…
<h2> How this started: I went looking for ACP and it was gone </h2> <p>I wanted to sort out the difference between MCP, ACP, and A2A. MCP I hear about constantly. A2A I knew by name. ACP I barely knew, so I opened its official repo (<code>github.com/i-am-bee/acp</code>).</p> <p>H…
<p>Most email APIs are built around one direction: your app sends a transactional email and a human reads it somewhere else.</p> <p>That breaks down when the user is an AI agent.</p> <p>Agents often need the full loop:</p> <ul> <li>send email</li> <li>receive replies</li> <li>par…
<h2> TL;DR </h2> <p>Use AlterLab as a Model Context Protocol tool to provide live web data to AI agents. The API handles anti-bot measures, proxies, and output formatting, letting your agent focus on reasoning rather than scraping mechanics.</p> <h2> Why Connect a Scraping API to…
<p>An AI agent that handles signups, outreach, or CRM hygiene keeps hitting the same wall: it has no idea whether an email address is real. It will cheerfully email <code>gmial.com</code>, accept a <code>mailinator.com</code> throwaway as a new user, or import a dead domain into …
dev.to — MCP tag
TIER_1English(EN)·Kenneth Doster·
<h2> What are MCP Servers? </h2> <p>The Model Context Protocol (MCP) is an open standard that lets AI agents use external tools through a unified interface. Think of it as USB-C for AI — one protocol connects any AI client (Claude Desktop, Cursor, VS Code with Cline) to any tool …
<h1> AI Agents und MCP: Wie autonome Agenten Tools aufrufen und was dabei schiefläuft </h1> <blockquote> <p><strong>Hook:</strong> Stellen Sie sich vor, Ihr KI‑Assistent bestellt Ihnen nicht nur einen Kaffee, sondern führt automatisch ein Backup, meldet ein Sicherheitsvorfall und…
Medium — MCP tag
TIER_1English(EN)·Yash Sanjivkumar Pawar·
<p>If you're building AI agents for business clients, you've probably hit this scenario:</p> <blockquote> <p>"Why isn't my business showing up when people search on ChatGPT?"</p> </blockquote> <p>It's happening more. 45% of consumers now use AI tools to find local services — up f…
<p>Imagine you are building a custom AI agent to manage your company's logistics. On day one, it needs to read from a PostgreSQL database. You write the integration. On day two, it needs to check a third-party weather API. You write another integration.</p> <p>By day ten, your ag…
dev.to — MCP tag
TIER_1English(EN)·Prateek Pareek·
<p>Building AI agents used to mean writing custom glue code for every tool and API you wanted your model to touch. The Model Context Protocol (MCP) changes that entirely. It gives your AI agent one standardized way to connect with any external service, database, or tool, without …
<h2> Introduction : Pourquoi Coinbase a misé sur les agents IA </h2> <p>Entre mai 2025 et juin 2026, Coinbase a connu la transformation produit la plus rapide de ses 13 ans d'histoire — et les agents IA étaient au cœur de chaque mouvement. L'entreprise n'a pas simplement construi…
<p><strong>TL;DR</strong> — Coinbase has shipped four major MCP-compatible products in under 12 months: <strong>Payments MCP</strong> (Oct 2025) for wallet operations and stablecoin payments, <strong>Base MCP</strong> (May 2026) connecting AI agents to DeFi protocols on the $4.2B…
<p>Your laptop can run a chat model, a vision model, a diffusion model, and a transcriber on its own GPU. Most setups still route every tool call through a cloud model that bills per token and reads everything you send. Off Grid AI Desktop is a free, open-source app that runs tho…
<p>Your AI agent can write code, search the web, and query databases. But ask it what's happening on your GPUs right now utilization, memory pressure, thermals and it draws a blank. That's because there's been no standard way for agents to access hardware telemetry.</p> <p><stron…
Medium — Claude tag
TIER_1English(EN)·Integrations Ninjas·
<p>How an AI agent analyzes BTC with AlgoVault MCP</p> <p>Here's a real-world workflow showing how agents use AlgoVault:</p> <p>💡 Workflow #1: Quick BTC Check (Beginner)<br /> "Get me a trade call for BTC on the 1h timeframe"</p> <p>And here's what the live signal returned just n…
<p>An AI agent can write a scraper, debug it, and tell you exactly where to deploy it. Then it stops. Because the next step — <em>actually renting the server</em> — almost always needs a human: open an account, maybe pass an identity check, type a card number into a checkout. The…
<p>Model Context Protocol (MCP) is an open standard for connecting AI apps to tools and data sources. A useful way to think about it is as a USB-C port for AI: one standard interface that lets different models plug into different capabilities without custom glue code for every in…
dev.to — MCP tag
TIER_1English(EN)·Whatsonyourmind·
<p>If you give an LLM agent a table of A/B variants and ask "which one should we send next?", it will confidently pick the one with the highest conversion rate.</p> <p>That feels right. It is often wrong.</p> <p>The model has no concept of <em>sample size</em>, <em>exploration</e…
<p>I asked my AI agent "which microservice owns the payment logic?"</p> <p>It had no idea. I was pointing it at the wrong repo.</p> <p>So I fixed that by building repobridge - an MCP server that gives any AI agent access to ALL your local Git repos at once.</p> <p>The problem<br …
<p>An AI agent can write a scraper, debug it, and tell you exactly where to deploy it. Then it stops. Because the next step — <em>actually renting the server</em> — almost always needs a human: open an account, maybe pass an identity check, type a card number into a checkout. The…
Medium — MCP tag
TIER_1English(EN)·Evrim Dutagaci·
<div class="medium-feed-item"><p class="medium-feed-snippet">In agentic AI, a “tool” is any external function or capability that an LLM can invoke to take action or retrieve information beyond just…</p><p class="medium-feed-link"><a href="https://evrimdutagac…
<p>Harnessing the MCP Server for PDF Tools Integration: smooth AI document automation</p> <p>Traditional PDF automation with AI agents has been a tangle of repeated REST calls, polling, file transfers, and re-authentication. Every pass at a PDF conversion or signature means more …
<p>As AI applications evolve from simple chatbots into autonomous agents, a new infrastructure layer is emerging. Terms like <strong>LLM Gateway, MCP Gateway, MCP Registry, LLM Router, and Agent Gateway</strong> are appearing everywhere—but what do they actually do?</p> <p>Let's …
<h4>How giving agents TypeScript types instead of tools unlocks 2,600+ APIs in under 1,000 tokens — and why running AI code safely is no longer a vulnerability.</h4><p><em>This story was written with the assistance of an AI writing program.</em></p><p><strong>Here is a number tha…
<h2> Intro </h2> <p>The Model Context Protocol has become the default wiring layer for AI trading agents. As the MCP server ecosystem for crypto expands, though, agent builders face a sharp quality problem: every server claims to deliver trade calls; almost none publish a verifia…
<p>There's a before-and-after line in the history of AI agent deployments, and Model Context Protocol is it.</p> <p>On April 20, 2026, CIS published its MCP Security Companion Guide — a set of controls co-authored with Astrix and Cequence that extends CIS Controls v8.1 into MCP e…
<p>Your "copy SQL into a chat window, paste the result back" loop is over.</p> <p>Readyset now supports MCP natively, which means Claude, Cursor, Windsurf, and any other MCP-aware agent can connect directly to your Readyset instance, inspect proxied queries, see what is cacheable…
<h2> Des API à la conversation : un nouveau mode d'accès à l'ERP </h2> <p>Pendant vingt ans, intégrer un logiciel de gestion à un autre outil supposait d'écrire du code : appeler une <a href="https://erp.eyeot.fr/glossaire/api-rest" rel="noopener noreferrer">API REST</a>, gérer l…
Medium — MCP tag
TIER_1English(EN)·CodeSpyder Technologies·
<p><strong>IBM watsonx Orchestrate · MCP · Beginner · 4 min read</strong></p> <blockquote> <p>What if your agent didn't need to know how any of its tools work? That's the idea behind MCP — and it's simpler than it sounds.</p> </blockquote> <p>I'm just getting started with the <st…
Medium — MCP tag
TIER_1English(EN)·Venkat Varagani·
<p>If you're building anything on top of MCP (Model Context Protocol), you'll eventually hit this question: once an LLM decides to call a tool, who actually checks whether it's allowed to?</p> <p><strong>MCP's spec defines how tools are discovered and invoked — it says nothing ab…
<p>Most LLM agents accumulate tools the same way codebases accumulate dependencies: organically, without consolidation, until you have 40 helpers and no macros. Macrokit's public MCP server gives your existing agent (Claude Code, Cursor, anything that speaks MCP) a way to wire in…
🤖 How we built an MCP bridge to give our AgentCore-hosted AI agent access to local MCP tools AI agents on Amazon Bedrock AgentCore run in the cloud, but users' tools and files live on their laptops. Learn how to build a secure MCP bridge that lets a cloud-hosted agent call local …
MTGuard paper targets malicious MCP tool use in AI agents An arXiv preprint proposes MTGuard, a hybrid analysis framework that catches malicious MCP tool use in AI agents while preserving normal task performance. https://www. notatechguy.com/mtguard-paper- targets-malicious-mcp-t…
🤖 StuMason/coolify-mcp MCP server for Coolify — 42 optimized tools for managing self-hosted PaaS through AI assistants Bridges AI assistants and self-hosted PaaS environments using a token-optimized toolset for safe deployment and operations ⭐ Stars: 529 📅 Last Update: Jul 30, 20…
Desarrolla, en minutos, un cliente MCP usando el framework de Spring AI. Continúa descubriendo como sacarle el máximo provecho a la inteligencia artificial! # Java # AI # MCP # SiguemeYTeSigo # Followback https:// youtu.be/s5iNQokIVFA Nota: imagen generada con IA.
Sácale el máximo provecho a la inteligencia artificial y crea, fácilmente y en minutos, tu servidor MCP remoto usando el framework Spring AI. # Java # AI # MCP # SiguemeYTeSigo # Followback https:// youtu.be/H3oFDgbF0iw Nota: imagen generada con IA.
<p>Ты просишь Claude Code добавить фичу на свежей версии фреймворка. Агент уверенно пишет импорт пакета, которого нет в npm, и зовёт метод, удалённый два релиза назад. Код не собирается. Агент чинит это новым, тоже выдуманным хелпером. Знакомая карусель.</p> <p>Причина банальна: …
dev.to — LLM tag
TIER_1English(EN)·Neural CoreTech·
<p>AI agents are moving from chat interfaces into real execution environments.</p> <p>They can now call APIs, access databases, manipulate files, and orchestrate workflows.</p> <p>But this creates a fundamental engineering problem:</p> <p>How do we give autonomous systems enough …
Sácale el máximo provecho a la inteligencia artificial y crea, fácilmente, tu servidor MCP para ejecución en local usando el framework Spring AI. # Java # AI # MCP # SiguemeYTeSigo # Followback https:// youtu.be/yadBlpGH-sk Nota: imagen generada con IA.
I am currently working on an # MCP server for Part-DB exposing capabilities of Part-DB to # AI agents. For example you can then ask your AI to search for the cheapest vendor of an specific part and will automatically use the info provider features of Part-DB to look through multi…
<p>The Model Context Protocol (MCP) makes it straightforward to wire up AI assistants to external tools: databases, APIs, code execution environments, email systems. That connectivity is exactly what makes MCP useful, and exactly what makes it worth securing carefully.</p> <p>Sin…
dev.to — LLM tag
TIER_1English(EN)·Daniel Nwaneri·
<p>A payment landed for exactly half an invoice's value. The payer's email matched the customer on file. The reference generated by Paystack — the Stripe-equivalent payment processor across Africa — didn't match anything at all.</p> <p>Qwen looked at it and came back with 30% con…
🧠 A Java-based local AI client and MCP orchestrator eliminates the need for Python dependencies. The tool enables developers to run AI models and coordinate multiple model protocol clients within a Java environment. 💬 Hacker News 🔗 https:// ypipe.com/ # AI # MachineLearning # tec…
MCP и безопасность агентов: почему протокол, создал новую проблему безопасности. Проверям на практике MCP упростил жизнь разработчикам: теперь у AI-агентов есть единый способ подключаться к инструментам и сервисам. Но у этой стандартизации есть обратная сторона — каждый MCP-серве…
Vyšla aktualizovaná verze nástroje https:// github.com/VitexSoftware/abraf lexi-mcp-server který zprostředkovává služby # AbraFlexi # AI agentům. Agent jako takový je sice schopný si FlexiBeečko osahat a pracovat i bez # MCP (Model Kontext Protokol) pomocníka ale tento již sám po…
A practical comparison of A2A and MCP for AI agent systems, covering tools, agents, architecture patterns, overlap, security, and when to use both. # Hermes # OpenClaw # Architecture # LLM # AI # AI Coding # API # Dev https://www. glukhov.org/ai-systems/mcp/a2a -vs-mcp-ai-agent-p…
<p>AI agent architecture is starting to split into two layers.</p> <p>One layer is about giving an AI assistant access to tools, data, APIs, files, databases, search systems, calendars, ticketing systems, and other external capabilities — and that is where MCP fits.</p> <p>The ot…
<p>Four new protocol acronyms in eighteen months, and most engineers still can't explain how they relate to each other. That's not a knowledge gap — it's a documentation failure.</p> <p>I've had this exact conversation three times in the past month. Each time, a smart engineer as…
👀 Binaryify/open-kimi-ppt-skill (732★) lets AI agents generate editable PPTs with a local browser editor — a practical bridge between LLM output and real document workflows. https:// olud.ai/latest.html # OpenSource # AI # GitHub
Give .NET agents access to reusable skills discovered directly from MCP servers, supporting cleaner integrations, modular capabilities, and simpler orchestration across AI workflows. # dotnet # MCP # AI # agents https:// isaacl.dev/g8z
MCP (Model Context Protocol) introduces a new secrets management challenge in AI infrastructure: credentials, tokens, and API keys flowing through LLM orchestration layers that weren't designed with least-privilege in mind. The attack surface isn't just the model — it's everythin…
MCP made one thing much simpler: instead of writing a custom integration for every AI client, you write one server and any client can connect. Three primitives cover most of it. Tools the model can call, resources it can read, prompts it can reuse. stdio while it is local, stream…
<!-- SC_OFF --><div class="md"><p>AI agents often require real browser access with session-backed flows, so I open-sourced <a href="https://github.com/52191314/Web-Agent-Proxy-SDK">WAP (Web Agent Proxy)</a>:</p> <ul> <li>HTTP API for agents/tools routing to WebSocket browser runn…
<table> <tr><td> <a href="https://www.reddit.com/r/ClaudeAI/comments/1uiguca/i_built_an_mcp_server_that_gives_an_ai_agent_its/"> <img alt="I built an MCP server that gives an AI agent its own crypto wallet — entirely with Claude Code" src="https://external-preview.redd.it/eGV4c2x…
