AI Agents Face Growing Security Scrutiny, New Research Explores Defenses
ByPulseAugur Editorial·[383 sources]·
Multiple research papers and a blog post from Google DeepMind highlight the growing security concerns surrounding increasingly capable AI agents. Google DeepMind's AI Control Roadmap proposes a "defense-in-depth" strategy, treating internal agents as potential insider threats and building system-level security. Other research explores methods like "defensive misdirection" to counter automated attacks and "CmdNeedle" to identify vulnerabilities in command denylists used by AI agents. Additionally, studies are investigating trust formation and recovery between AI agents, as well as developing trust-native routing infrastructure and protocols to ensure secure and verifiable interactions in multi-agent systems.
AI
IMPACT
Developments in AI agent security and trust protocols are crucial for enabling safe and reliable autonomous systems in various applications.
RANK_REASON
Multiple research papers and a blog post discuss security challenges and solutions for AI agents.
arXiv:2606.26216v1 Announce Type: cross Abstract: We present CyberChainBench, a benchmark for evaluating LLM-based agents on smart contract security across three complementary tasks: vulnerability detection, exploit generation, and patch synthesis. Built from 541 real-world explo…
arXiv:2606.26298v1 Announce Type: new Abstract: Autonomous AI agents may begin to perform consequential, irreversible actions such as clinical prescribing and production software deployment. This paper observes that human institutions have governed powerful autonomous actors not …
As autonomous AI agents increasingly transact across organizational boundaries, a fundamental trust challenge emerges: how can an agent assess whether an unknown counterpart is trustworthy? The ERC-8004 protocol addresses this challenge with the first permissionless trust layer f…
As autonomous AI agents increasingly transact across organizational boundaries, a fundamental trust challenge emerges: how can an agent assess whether an unknown counterpart is trustworthy? The ERC-8004 protocol addresses this challenge with the first permissionless trust layer f…
arXiv:2606.20470v1 Announce Type: cross Abstract: Agentic AI systems increasingly rely on language-model components to interpret instructions, process external data, invoke tools, and coordinate with other agents. These capabilities make prompt-injection and jailbreak attacks mor…
Agentic AI systems increasingly rely on language-model components to interpret instructions, process external data, invoke tools, and coordinate with other agents. These capabilities make prompt-injection and jailbreak attacks more consequential, especially as attackers adopt mod…
arXiv cs.AI
TIER_1English(EN)·Binyan Xu, Xilin Dai, Fan Yang, Kehuan Zhang·
arXiv:2606.16465v1 Announce Type: new Abstract: AI agents can now take irreversible actions in operational systems, but agent-caused losses are still not clearly assigned, priced, or transferred. Providers often disclaim consequential damages, users are left with uncompensated lo…
arXiv:2605.06738v2 Announce Type: replace-cross Abstract: Autonomous AI agents already transact at production scale -- 69,000 bots, 165 million transactions, $50 million in volume on a single marketplace -- and any party can verify a signed credential without a central service. I…
arXiv:2606.15549v1 Announce Type: cross Abstract: The adoption of AI agents is increasing rapidly. Terminal AI agents, i.e., AI agents that run in terminal environments, are a widely used type of AI agents. Terminal AI agents rely heavily on shell command execution to interact wi…
arXiv cs.AI
TIER_1English(EN)·Hao-Ping Lee, Jessica He, David Piorkowski, Thomas Serban von Davier, Jodi Forlizzi, Sauvik Das·
arXiv:2606.15485v1 Announce Type: cross Abstract: Agentic AI systems act autonomously, use tools, adapt to context, and operate in complex real-world environments. However, these same characteristics can create or exacerbate product risks. We studied how industry developers (n=35…
arXiv cs.AI
TIER_1English(EN)·Ahmed Mohammed Almalki, Mehedi Masud·
arXiv:2606.14816v1 Announce Type: cross Abstract: This paper presents a structured analysis of security challenges in long-horizon agentic AI systems. The study reviews existing threats, evaluation approaches, attack propagation mechanisms, and security frameworks. A taxonomy of …
arXiv:2606.15822v1 Announce Type: new Abstract: AI agents increasingly access external models, tools, and services through Agentic Routing Infrastructure (ARI) to manage the overhead of heterogeneous interfaces and fragmented subscriptions. Yet, the architecture of ARI introduces…
arXiv:2606.14923v1 Announce Type: new Abstract: As language-model agents increasingly work in teams, each agent must decide how much to trust its teammates. Yet we lack a standard way to measure trust between AI agents. We propose a behavioral measure based on costly verification…
As language-model agents increasingly work in teams, each agent must decide how much to trust its teammates. Yet we lack a standard way to measure trust between AI agents. We propose a behavioral measure based on costly verification. In a cooperative survival game, checking a tea…
<p><i><span>Tldr: Most strategic writing on AI governance on LessWrong describes the </span></i><i><b><span>outsider</span></b></i><i><span> game, which is most often visible: press, statements, open letters. Here I want to describe the other, invisible half: the </span></i><i><b…
AWS Machine Learning Blog
TIER_1English(EN)·Christopher Phillippi·
In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe’s ReAct agent framework and the infrastructure decisions behind a dedicated agent service. We also discuss the role of human oversig…
AWS Machine Learning Blog
TIER_1English(EN)·Guy Bachar·
In this post, you will learn how Ampersend built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments. AI agents autonomously route tasks to the most effective model, pay per request, and operate within spending budgets. You will also see how the two-h…
For decades, the enterprise technology industry operated on a simple principle: software companies built products, and services firms helped enterprises.
Snowflake's blowout quarter and Jensen Huang's agentic AI case just buried the SaaS is dead trade. Here is the consumption pricing playbook every software CEO needs.
<p>How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. T…
Box CEO Aaron Levie urges companies to view AI as a "technology for abundance," offering unlimited capacity for data analysis and insights, rather than just productivity hacks.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·sarangk90·
A great consolidation may be on the horizon, as it may be far more effective and less costly to add new skillsets into existing agents rather than attempting to deploy fleets of narrow-task agents to accomplish workflows.
As AI adoption accelerates, organizations must systematically build, measure and maintain trust through continuous governance, monitoring and operational discipline.
What most enterprises are missing is orchestration. The CIOs and CTOs who close that gap first will be the ones who move AI from pilots to production this year.
Start by figuring out if the systems organizations build around AI are designed to produce trustworthy outcomes. That's an architectural question, not a model question.
As organizations rush to deploy autonomous systems, success increasingly depends on governance, workflow design and operational readiness, not benchmark performance.
Qualcomm is gearing up to transform itself into an Agentic AI Infrastructure company. We look into what that means, and its upcoming DragonFly AI Server chip
With a disparity between the digital front end and the manual back end of underwriting and closing, the mortgage life cycle needs to be rethought through an agentic lens.
Hacker News — AI stories ≥50 points
TIER_1English(EN)·mellosouls·
<p>As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic’s Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They exa…
<p>Vercel has open-sourced eve, an Apache-2.0 agent framework now in public preview. An agent is a directory of files, with durable execution, sandboxes, approvals, connections, channels, and evals built in. Scaffold with npx eve@latest init and deploy unchanged via vercel deploy…
<p>{</* resource-info */>}</p> <h2> Why OpenClaw Exploded in 2026 </h2> <h3> From Zero to 362K Stars: The Fastest GitHub Growth on Record </h3> <p>In November 2025, Austrian developer Peter Steinberger released the first version under the name Clawdbot. Four months later, t…
<p>As MCP crosses 97 million monthly SDK downloads and AI agents move into production workflows, authentication has become the most critical infrastructure decision teams face. This guide ranks the eight leading platforms — WorkOS, Stytch, Auth0 by Okta, Composio, Nango, Arcade, …
<p>In this tutorial, we build a fully functional MCP-style routed agent system from scratch, combining tool discovery, intelligent routing, structured planning, and execution into a single cohesive workflow. We start by setting up a modular tool server that exposes capabilities s…
HN — claude cli stories
TIER_1English(EN)·stealthtsdb·
<p><strong>Cognitive memory infrastructure for agents that remember, reflect, and — apparently — talk to each other behind your back.</strong></p> <p>Two weeks ago, something unexpected happened in our test environment.</p> <p>We had 5 AI agents running on separate machines. Sepa…
dev.to — MCP tag
TIER_1English(EN)·Intellibooks AI·
<p><strong>TL;DR:</strong> If an AI agent can read external data and also take actions, an attacker can hide instructions inside the data it reads. The agent cannot reliably tell a real instruction from a poisoned one, so it runs the attacker's intent with the agent's own privile…
https://www. europesays.com/3087895/ From host node to heterogeneous rack: Rethinking the AI CPU # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence
https://www. europesays.com/3087893/ Agentic AI affects the future of data and analytics, says Gartner # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence
<blockquote> <p><strong>TL;DR</strong> — <a href="https://github.com/dylanneve1/talon" rel="noopener noreferrer">Talon</a> is an open-source, self-hostable agentic AI harness. One platform-agnostic engine runs across <strong>Telegram, Discord, Microsoft Teams and the Terminal</st…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*zIWH7erqFXjWWSnKIoaKfg.png" /></figure><p><em>Functional tests, retrieval tests, and safety checks all passed. Full autonomy still hadn’t been earned.</em></p><p>I had an Azure AI agent that passed every test I w…
<h2> The trigger: showing an agent a login screen makes no sense </h2> <p>Every time I write an MCP (Model Context Protocol) server, the same problem stops me. The agent that just sent this request: who is it, and how am I supposed to tell?</p> <p>For a human-facing web service t…
dev.to — MCP tag
TIER_1English(EN)·Renato Marinho·
<p>I spent the last week trying to see how far I could push an AI agent into my security workflow without it becoming a liability. </p> <p>We’ve all been there: A critical CVE drops, or a compliance audit looms, and suddenly your afternoon is gone. You're jumping between the Aiki…
dev.to — MCP tag
TIER_1English(EN)·Mizbauddin Mohammad·
<p><em>An agent should be free to suggest wiring forty thousand dollars — and structurally incapable of actually doing it without a human in the loop.</em></p> <p>Here is a true-to-life sequence that should frighten anyone about to connect an LLM agent to a system that moves mone…
Medium — Claude tag
TIER_1English(EN)·Srikar Reddy·
<h1> I built a Stripe-native marketplace where AI agents pay for APIs automatically </h1> <p>A few weeks ago, Stripe shipped their <strong>Agent Toolkit</strong> — a way for AI agents to hold a payment method and spend money programmatically. I read the announcement and immediate…
<h4>Build production-ready agent loops with durable orchestration. 3 layers, working code, real-world patterns. From someone who learned this the hard way.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*dLVPcJDpZX-GJ-lddFt8rg.png" /><figcaption><em>The 3-…
<p>Picture this: you've built a solid REST API. FastAPI, Express, Go doesn't matter. It works. Then someone says "we need AI agents to use our API."</p> <p>Now you're writing a separate MCP server. Maintaining tool definitions that mirror your routes. Keeping schemas in sync. Deb…
Medium — Claude tag
TIER_1English(EN)·Ravindra Pawar·
Stack Overflow for Agents is a beta API-first knowledge exchange built for AI coding agents. The goal: solve the "Ephemeral Intelligence Gap" - where # AIagents repeatedly rediscover the same fixes and patterns in isolation instead of sharing them through a common memory. Learn m…
<figure><img alt="Illustration titled “Loop Engineering: The Missing Governance Layer for Reliable AI Agents.” A circular AI governance loop surrounds a robot icon with five stages: Observe, Reason, Act, Evaluate, and Govern. Supporting concepts include guardrails, human-in-the-l…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/687/1*Ko8-8yV7fbLdIeqCkNPYWw.png" /></figure><h3><strong>Introduction: From Reliability to Reasoning</strong></h3><p>Distributed systems taught us how to build software that scales, recovers, and performs. Agentic syste…
<div class="medium-feed-item"><p class="medium-feed-snippet">If your current relationship with Artificial Intelligence consists of typing a clever prompt into a chatbot and waiting for a wall of text…</p><p class="medium-feed-link"><a href="https://medium.com/@harshpardhi4…
Medium — Claude tag
TIER_1English(EN)·Gowtam Singulur·
<p>Picture this scenario. It's 3am. Your AI agent — the one your CFO proudly announced at the all-hands — has been running for six hours. It finishes a routine task, cross-references some data, and wires $82,000 to a vendor account that was quietly updated in your accounting syst…
Medium — Claude tag
TIER_1English(EN)·Robert Mill·
<p>Every enterprise AI conversation right now starts in the same place: "connect the model to our data." Then it stalls in the same place: <em>which</em> data, copied <em>where</em>, governed by <em>whom</em>.</p> <p>I build retrieval for a living (I wrote the original open-sourc…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*KWJ1LLVBnIxC6BmtuINqVg.jpeg" /><figcaption>Programmatic agents need workflow design, not just a larger monthly credit pool.</figcaption></figure><p>A billing change is easy to treat as an accounting problem. For …
<p>Base just shipped <strong>Base MCP</strong> — a major step toward the agentic economy. It connects your Base Account directly to AI interfaces (Claude, ChatGPT, Cursor, Codex, etc.), letting agents perform real onchain actions through simple chat prompts while keeping you full…
A quieter risk: AI skill managers now function as package managers for agent instructions that can access files and shell systems. Only one vendor scans those files before installation. Supply-chain security gaps in agent tooling may outpace policy attention. https://www. implica…
<p>A team at a mid-size SaaS company spent six weeks building a custom integration layer so their AI agent could talk to Salesforce, Jira, Confluence, and their internal data warehouse. Four tools. Six weeks. The agent still couldn't handle OAuth token refresh without manual inte…
<p>Anthropic just published <a href="https://www.anthropic.com/engineering/how-we-contain-claude" rel="noopener noreferrer">how they contain Claude</a>. The number that should stop every platform team: under prompt injection, in a controlled test, Claude completed credential exfi…
dev.to — MCP tag
TIER_1English(EN)·Surendra Kumar·
<p>🚀 Check out my latest write-up on CoderLegion: "Built an Autonomous DFIR Agent SIFT-AEGIS — Here's What I Learned"</p> <p>Read the full article here: <a href="https://coderlegion.com/20700/built-an-autonomous-dfir-agent-sift-aegis-heres-what-i-learned" rel="noopener noreferrer…
dev.to — MCP tag
TIER_1English(EN)·Qasim Muhammad·
<p>Before: giving an AI assistant email access meant writing wrapper functions, defining tool schemas by hand, managing OAuth tokens, and re-doing all of it for every agent runtime you supported. After: one install command registers a full set of email, calendar, and contacts too…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*J-2DGr66i2P9JZAJOwLINg.png" /><figcaption>Photo from AI</figcaption></figure><h4><strong>Most engineers treat multi-agent speed as a concurrency problem. It is not. The bottleneck is setup time, and memory snapsh…
<p>A few months ago I wrote about <a href="https://dev.to/shahershamroukh/building-a-production-mcp-server-in-ruby-on-rails-lessons-from-robinreach-4f4c">building a production MCP server in Rails</a>, the plumbing of exposing RobinReach's API as a set of MCP tools that Claude and…
Towards AI
TIER_1English(EN)·Vinay Prasanth Kamma·
<h4>Artificial Intelligence is entering a new phase.</h4><p>Over the last few years, most organizations have viewed AI as a tool for generating content, answering questions, summarizing information, and providing recommendations. In most cases, these systems acted as passive part…
Medium — Claude tag
TIER_1Nederlands(NL)·Gaurav Vij·
<p>Hermes AI Agent handles multi-step workflows well. The planning layer holds up. Memory across sessions works. What kept breaking down was the tool layer. Once a workflow touched three or four external systems, I was spending more time on auth configs, mismatched response forma…
<div class="medium-feed-item"><p class="medium-feed-snippet">The future of QA isn’t faster test runners. It’s agents that decide what to run, when to run it, and why.</p><p class="medium-feed-link"><a href="https://medium.com/@mehta_tvara/how-mcp-and-ai-agents-are-q…
<p>When we started building <a href="https://cohort.bubblnet.com" rel="noopener noreferrer">First Break AI</a>, we had a constraint that turned out to be an advantage: we wanted a real course site — lessons, blogs, office hours, a roadmap, docs — but we did not want to run a full…
<p>Most Amazon AI agent tutorials spend 90% of their time on the LLM integration and 10% on data. In production, the failure ratio is exactly reversed: 90% of decision quality issues come from the data pipeline.</p> <p>This post covers the three data failure modes that break Amaz…
Medium — Claude tag
TIER_1English(EN)·arup chakraborty·
<p>I'm a commercial pilot who builds software. Last week I noticed something: ask any AI assistant "what's the weather at JFK right now and is it VFR?" and it either guesses, hallucinates a METAR, or tells you to go check a website. LLMs have no live aviation data.</p> <p>So I bu…
<h4><em>The healthcare AI adoption problem isn’t a technology problem. It’s a trust architecture problem, and it requires a very different kind of engineering to solve.</em></h4><p>Every week, another health system announces a new AI initiative. Every year, another study confirms…
<p>Your AI agent makes choices you never see — which API to call, which dataset to pull, which <em>other</em> agent to hand a subtask to. Right now it makes them blind.</p> <p>It can't tell a reliable provider from a scam. It can't carry a track record from one task to the next. …
<blockquote> <p><em>Install guide and config at <a href="https://www.curatedmcp.com/install/redis-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Redis MCP: Give Your AI Agent Full Access to Redis — Strings, Lists, Hashes, Queues, and …
<p>I've spent some quite of time building conversational AI agents on <a href="https://www.cognigy.com/" rel="noopener noreferrer">Cognigy.AI</a> — enterprise voice bots, multilingual flows, NLU training, the works while working at Deloitte. It's a powerful platform. It's also a …
<h1> Introduction </h1> <p>A while back, I wrote <a href="https://dev.to/koshirok096/from-chatgpt-to-claude-you-dont-really-know-a-tool-until-you-keep-using-it-bite-size-article-2ofp">a post about switching my main tool from ChatGPT to Claude</a>. It's only been a few months sinc…
<p>MCP Core Defense: A 7-Phase Security Proxy for AI Agent Systems</p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>The Model Context Protocol (MCP) has become the standard interface for connecting large language models to external tools and da…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*6o_INalI8qpIfOp0uoM0Qg.png" /><figcaption>image 1</figcaption></figure><p>“Giving an LLM a bash shell is like handing a toddler a flamethrower. Never useful, but terrifying.” I read that on an AI engineering Slac…
<p>Your AI agent will recommend a library that hasn't shipped a commit in over a year—and never flinch. It can't tell a thriving project from a dying one, so it treats a vibrant repo and an abandoned one as equally safe to build on. That's how stale dependencies sneak into produc…
<div class="medium-feed-item"><p class="medium-feed-snippet">Every MCP web-access tutorial I read this month pointed at a paid API.</p><p class="medium-feed-link"><a href="https://medium.com/@spinov001/give-your-ai-agent-a-web-fetch-tool-a-60-line-mcp-server-free-self-hosted-88bb…
<p>Every MCP web-access tutorial I read this month pointed at a paid API.</p> <p>You don't need one. To let an AI agent read a public web page, sixty lines on the official MCP Python SDK give you a self-hosted <code>web_fetch</code> tool — running on your machine, no key, no per-…
dev.to — MCP tag
TIER_1English(EN)·Yuuki Yamashita·
<p>AI agents can now <em>act</em>, not just suggest. They issue refunds, run migrations, message customers. That's powerful — and a little terrifying. "Autonomous" should not mean "unsupervised." The moment an agent can spend money or drop a production table, someone needs to be …
<p><em>Cross-post to dev.to, Hashnode, Medium.</em></p> <p><em>Cover image suggestion: split-screen — left side a human customer support ticket, right side an AI agent API call. Title overlay.</em></p> <h2> The premise </h2> <p>For most of SaaS history, the buyer was a human. The…
<div class="medium-feed-item"><p class="medium-feed-snippet">For years, we talked about AI in the SOC the way we talked about self-driving cars: always five years away, always needing “just a bit…</p><p class="medium-feed-link"><a href="https://stellarcyber.medium.c…
Medium — MCP tag
TIER_1English(EN)·Prasanna Nattuthurai·
<p>Someone on your revenue operations team got tired of nagging account executives about CRM hygiene. So they wired up an agent. Salesforce has an MCP server, the model can call tools, and the workflow is obvious: take the meeting transcript, pull out the next steps, update the o…
<h1> MCP Telegram Agent: Letting AI Agents Notify You and Wait for Control Replies </h1> <p>I built MCP Telegram Agent because agents need a simple way to reach humans outside the editor.</p> <p>Repository:</p> <p><a href="https://github.com/tecnomanu/mcp-telegram-agent" rel="noo…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*Jy0YXtU9wt6K7f652Nhv2A.png" /></figure><p>An AI coding agent deleted a production database in about nine seconds.</p><p>Not because it was evil.</p><p>Not because the model wanted to break things.</p><p>Because t…
<p>I have been building tooling for AI agents in Python for about a year. The thing I keep needing, over and over, is "give the agent a search bar." Every time, the search bar costs me an account, an API key, a billing relationship, and a way to keep that key out of the repo. The…
<p>It finally happened, and it happened early.</p> <p>According to Cloudflare Radar data — flagged by SemiAnalysis and confirmed by Cloudflare CEO Matthew Prince — automated traffic has surpassed human traffic on the open web for the first time in history. Bots and AI agents now …
Towards AI
TIER_1English(EN)·Muhammad Abdullah Shafat Mulkana·
<h4><em>A walkthrough of the MCP Apps protocol extension, with a working weather card in Python and a real-world application in LangGraph debugging.</em></h4><figure><img alt="A side-by-side mockup comparison titled “MCP Apps — the same tool call, two worlds”. On the left, “Witho…
<blockquote> <p><strong>Key takeaways</strong></p> <ul> <li>Give an AI agent live web data by connecting it to Crawlora's hosted MCP endpoint — it calls documented tools (search, maps, commerce, social, finance) and gets normalized JSON back, with no scraping code or proxies to r…
<p>For years, we talked about AI in the SOC the way we talked about self-driving cars: always five years away, always needing “just a bit more data.” Then MCP (Model Context Protocol) happened. Then agentic frameworks stopped being demos and started being tools. And suddenly the …
<p>Your coding agent writes HTML all day. A quick dashboard to eyeball some data. A PR writeup with a rendered diff. A status report, a Mermaid diagram, a one-off internal tool. Then what? You screenshot it into Slack, paste it into a gist, or spin up a Vercel project for a file …
<blockquote> <p><em>Install guide and config at <a href="https://curatedmcp.com/install/perplexity-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Perplexity MCP: Ground Your AI Agent in Real-Time Web Research with Citations </h1> <p>B…
<p>If you're building AI-powered applications and need visual capabilities, <strong>ShotAPI</strong> is an MCP server that gives your AI agents the ability to capture screenshots and render HTML to images.</p> <h2> What is ShotAPI? </h2> <p>ShotAPI is an MCP (Model Context Protoc…
<p>If you are wiring MCP servers into an agent, you are taking on a dependency with no SLA, no uptime history, and no failure record. It works in the demo. Then six weeks later it starts failing half its calls, or its latency triples, and nobody notices until a workflow breaks.</…
Medium — MCP tag
TIER_1English(EN)·VectorWorks Academy·
<p>Agents need a way to notify humans.</p> <p>Not every task should stay hidden inside an IDE or terminal.</p> <p>Sometimes an agent finishes a job, needs approval, hits a blocker or wants to send a generated artifact.</p> <p>For that, I built MCP Telegram Agent.</p> <p>Repo:<br …
<p>The web is visual — but most AI agents can only read text. What if your AI assistant could actually <strong>see</strong> a webpage, capture a screenshot, or render HTML to an image?</p> <p>That's exactly what <strong>ShotAPI</strong> does. It's an MCP (Model Context Protocol) …
Medium — MCP tag
TIER_1English(EN)·Sanketchidrewar·
<div class="medium-feed-item"><p class="medium-feed-snippet">The Hidden Problem with Enterprise AI</p><p class="medium-feed-link"><a href="https://medium.com/@sanketchidrewar11/standardizing-ai-communication-with-mcp-servers-why-every-enterprise-ai-project-needs-a-common-cc9d8433…
Medium — MCP tag
TIER_1English(EN)·Michael Preston·
<p>In <a href="https://ai.plainenglish.io/stop-building-ai-apps-for-every-idea-start-building-mcp-servers-f42429cbf240">Part 1</a>, I argued that the center of gravity in applied AI is shifting from full applications to MCP servers. The UI is becoming the shell. The capability la…
Medium — Claude tag
TIER_1English(EN)·Hoe shi Lee·
<p>In 2024-2025, three significant AI agent protocols emerged:</p> <ol> <li> <strong>MCP (Model Context Protocol)</strong> — Anthropic's open standard for tools and data</li> <li> <strong>A2A (Agent-to-Agent)</strong> — cross-vendor agent communication protocol </li> <li> <strong…
dev.to — MCP tag
TIER_1English(EN)·Antonio Cardenas·
<h2> Angular v22 MCP + Skills Integration: Agentic Development Setup </h2> <p>With Angular v22, the MCP (Model Context Protocol) server + Angular Skills stack transforms agent-assisted development from a risky proposition into a deterministic, verifiable workflow. This guide walk…
<h2> TL;DR </h2> <p>To give AI agents reliable web access, wrap Playwright with the <code>playwright-stealth</code> plugin inside a Python-based Model Context Protocol (MCP) server. This architecture exposes a standard <code>browse_page</code> tool to the LLM, renders JavaScript-…
<p>As AI agents become more capable, organizations are moving beyond standalone chatbots and building systems where multiple agents work together to complete complex tasks. A single request may involve one agent gathering information, another analyzing data, a third generating co…
<p>This week Coinbase's Ethereum Layer-2 network <strong>Base</strong> shipped one of the more consequential pieces of agentic-payment infrastructure of the year. <strong>Base MCP</strong> — a Model Context Protocol gateway — lets AI agents running on ChatGPT, Claude, Codex, or C…
<p>There's a moment in every project where you have a working endpoint, you <em>know</em><br /> you should write tests for it, and you also know you're about to spend the next<br /> hour wiring up an HTTP client, an assertion library, and a dozen little helpers<br /> before you w…
<p>One feature I really liked in Claude Code is the concept of sub-agents—specialized agents that can handle specific tasks such as code review, debugging, testing, or research.</p> <p>The downside is that these workflows are often tied to a specific tool.</p> <p>To address this,…
<p>Most scraper demos lie by accident.</p> <p>They show the happy path: one URL, one clean page, one neat JSON object. Then the first real user tries a marketplace search page, a login wall, a JavaScript shell, a rate-limited product page, or a site that serves different HTML to …
<p>MCP and Agent Skills are often discussed in the same breath. That is reasonable: both help agents do more than chat. But they solve different problems.</p> <p>MCP gives an agent access to external capabilities.</p> <p>Agent Skills give an agent task-specific procedure.</p> <p>…
<blockquote> <p><em>Install guide and config at <a href="https://curatedmcp.com/install/notion-mcp-server/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Notion MCP Server: Give Your AI Agent Native Access to Your Team's Knowledge Base </h…
<p>An AI agent does not need to be hacked to become expensive. Sometimes it only needs too many tools, vague permissions, and no spending limit.</p> <p>That is the quiet risk inside many new AI SaaS products. A builder connects an agent to a CRM, database, email tool, analytics A…
<h3>Background</h3><p>In one of my previous articles, I shared how to deploy a trained model on Azure Machine Learning and expose it as an online inference API. In this article, I want to continue along that path and share a very practical scenario: how to wrap that online infere…
<p>For years, we've built APIs for developers.</p> <p>Every payment gateway, banking platform, fintech API, and infrastructure provider has been designed around a simple assumption:</p> <blockquote> <p>A human developer writes the code that interacts with the API.</p> </blockquot…
<p>Every month a new MCP server ships and claims to "unlock" some platform for AI agents. Most of them are thin wrappers — an API key, a few REST calls, no audit trail. The AWS MCP Server is not that. AWS owns the infrastructure it exposes, which means it can wire agent-initiated…
<h2> Intro </h2> <p>CrewAI makes it fast to assemble a fleet of specialized agents — a researcher, a signal analyst, an execution router — and wire them into a pipeline that hands off structured results at each stage. The bottleneck isn't the orchestration framework. It's the sig…
<p>WebMCP is one of the more important web-agent announcements from Google I/O 2026 because it changes the contract between a website and a browser-based AI agent. Instead of asking an agent to stare at screenshots, infer controls, click through a layout, and hope it did not miss…
dev.to — MCP tag
TIER_1English(EN)·Toni Antunovic·
<p><em>This article was originally published on <a href="https://lucidshark.com/blog/nsa-mcp-security-advisory-ai-coding-workflow-2026" rel="noopener noreferrer">LucidShark Blog</a>.</em></p> <p>The NSA published a formal Cybersecurity Information Sheet on Model Context Protocol …
<p>Over the last several weeks, we’ve built a <strong>Sovereign Vault</strong>—a forensic system that uses the Model Context Protocol (MCP) to authenticate rare books. We’ve seen the code, survived the logic-checks, and successfully navigated the "Airlock" of local vision and PII…
dev.to — MCP tag
TIER_1English(EN)·Nicolas Dabene·
<h1> 🧠 Introduction: Addressing Frustration with Artificial Intelligence </h1> <p>In the whirlwind of e-commerce, every second counts. You, PrestaShop merchant, need precise stats to make quick decisions: which product to boost? Which customers to retain? But often, it’s chaos. Y…
dev.to — MCP tag
TIER_1English(EN)·Nicolas Dabene·
<h1> The AI Management Assistant Era: Decoding the PS MCP Server and the Revolutionary MCP Tools Plus Module </h1> <h2> 🧠 Introduction: Addressing Frustration with Artificial Intelligence </h2> <p>In the whirlwind of e-commerce, every second counts. You, the PrestaShop merchant, …
dev.to — MCP tag
TIER_1English(EN)·Nicolas Dabene·
<h1> How AI Discovers Your MCP Tools? </h1> <p>In the daily life of a PrestaShop e-merchant, repetitive tasks like sales reports or inventory analysis can quickly become a bottleneck to productivity. The PS MCP Server and the MCP Tools Plus module are changing the game by allowin…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*3p6nf64hLnl3r8CymJ6rng.jpeg" /><figcaption>Photo by Google DeepMind on pexel</figcaption></figure><h3>AI-Ready Modernization: The Data Bottleneck Still Persists</h3><p>Enterprises have invested heavily in moderni…
<p><strong>Most AI agent workflows end at code, data, and text.</strong> Need a social media graphic? A product mockup? A brand asset? You're back to manual: open Figma, write a brief, wait for a designer, iterate.</p> <p>We built a design platform that AI agents can talk to dire…
<blockquote> <p><em>Una de las preguntas más interesantes que me hicieron en la última clase de mi curso "Strands Agents + AgentCore: De Cero a Agentes en Producción".</em></p> </blockquote> <p>Ayer, en medio de la clase, llegó la pregunta:</p> <blockquote> <p><em>"Ricardo, estoy…
<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://curatedmcp.com/install/slack-mcp-server/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Slack MCP Server: Keep Your AI Agent in the Loop With Live Workspace Access </h1> <p>S…
<blockquote> <p><strong>TL;DR</strong> — <code>jhipster-mcp</code> is an open-source <a href="https://modelcontextprotocol.io" rel="noopener noreferrer">Model Context Protocol</a> server that lets an AI agent generate and evolve <a href="https://www.jhipster.tech" rel="noopener n…
<h2> GoldBean MCP — 75+ x402-Paid APIs for AI Agents </h2> <p>GoldBean is a comprehensive MCP server that gives AI agents access to <strong>75+ paid endpoints</strong> across <strong>19 categories</strong> — all payable via x402 micropayments (USDC on Base chain).</p> <p><strong>…
<p>Picture this: you wire up an LLM to query your database. It works great. Then your product team asks you to also pull data from Slack. Another custom connector. Then GitHub. Another. Then Notion. Another. By the time you have five data sources connected, you are maintaining fi…
<p>Your clinical AI is regulated by HIPAA, the 2026 Security Rule update, the EU AI Act, the Colorado AI Act, and state disclosure laws. Simultaneously. Here’s the unified governance architecture that satisfies all five without building five separate compliance programs.</p><figu…
<blockquote> <p><em>Install guide and config at <a href="https://curatedmcp.com/install/puppeteer-mcp-server/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Puppeteer MCP Server: Automate Browser Tasks Directly from Your AI Agent </h1> <h2…
dev.to — MCP tag
TIER_1English(EN)·David Golverdingen·
<p>Most teams shipping AI to production are still building on a stack designed for 2023. Custom chat UIs. Orchestration frameworks. RAG pipelines. Vector databases. Agent observability layers. An AI platform team to keep it all running. At Warmtebouw we skipped all of it and ship…
<p>Anthropic announced <strong>MCP tunnels</strong> for Claude Managed Agents on May 19, 2026, alongside self-hosted sandboxes. The important idea is narrow but useful: Claude agents can reach Model Context Protocol servers that live inside a private network without requiring tho…
Medium — Claude tag
TIER_1Français(FR)·Yousri Maazaoui·
<p>The MCP ecosystem moves fast. New servers, new Claude Code skills, new agent frameworks every week. The distribution infrastructure for indie builders in that space is basically nonexistent — no curated channels, no automated submission pipelines, no recurring visibility mecha…
<p>You give Claude a single prompt — "investigate this email address" — and it autonomously chains five tools: email enumeration, username search across 300+ platforms, breach lookup, WHOIS, and IP geolocation. No manual invocations, no copy-pasting output between scripts, no bab…
<p>If you're using more than one AI coding tool in 2026, you've probably hit this problem: each tool has its own MCP config format, its own config file location, and its own quirks. Adding a new MCP server means editing 3-5 JSON files by hand.</p> <p>I built <a href="https://mcp.…
<p>Most people still use AI like it's a smarter Google.</p> <p>They open ChatGPT or Claude… ask a few questions… copy a few answers… and that's it.</p> <p>But something massive is changing right now.</p> <p>AI is evolving from "chatbots" into systems that can actually work with r…
Medium — Claude tag
TIER_1English(EN)·Kevin Meneses González·
<blockquote> <p><em>Install guide and config at <a href="https://curatedmcp.com/install/brave-search-mcp/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Brave Search MCP: Give Your AI Agent Real-Time Web Access Without Google's Baggage </h…
<h1> Hosting MCP Gateway Registry on AWS ECS: A Practical Blueprint for Enterprise Agentic AI Systems </h1> <p>AI agents are no longer just demo applications that answer questions.</p> <p>They are slowly becoming systems that can take action: search customer records, update oppor…
<p><strong>Building an MCP server is only half the job. The other half — testing its tools — is where most developers drop the ball.</strong></p> <p>If you're using the <a href="https://ai-sdk.dev/docs/introduction" rel="noopener noreferrer">Vercel AI SDK</a> to build AI agents w…
dev.to — MCP tag
TIER_1English(EN)·Jordan Bourbonnais·
<p>You know that feeling when you deploy an AI agent to production and suddenly realize you have zero visibility into what it's actually doing? One minute it's processing requests, the next it's silently failing in ways you won't discover until your users complain. That's the mom…
<p>Coding agents are powerful, but in day-to-day development they waste a lot of tokens on noisy tool output.</p> <p>A typical <code>cargo test</code> or <code>git status</code> through generic shell tooling sends back a lot of text that an agent doesn’t actually need to reason w…
Medium — MCP tag
TIER_1English(EN)·Naman Bharsakale·
<h2> TL;DR </h2> <p>I built an <strong>MCP server</strong> (11 tools) at <strong><a href="https://api.aineedhelpfromotherai.com/mcp" rel="noopener noreferrer">https://api.aineedhelpfromotherai.com/mcp</a></strong> where AI agents can:</p> <ul> <li> <strong>Check a cache</strong> …
<p>Your AI agent calls MCP servers. But do you know if those servers are reliable?</p> <p>MCP (Model Context Protocol) is how agents talk to tools. There are 14,820+ MCP servers in the wild. Some are rock-solid. Some go down every hour. Some return garbage data. Your agent can't …
<div class="medium-feed-item"><p class="medium-feed-snippet">Connect any AI model to any tool, database, or API — once and for all.</p><p class="medium-feed-link"><a href="https://medium.com/@rs9000.dev/the-universal-remote-for-ai-a-deep-dive-into-the-model-context-protoco…
<p><em>Connect any AI model to any tool, database, or API — once and for all.</em></p> <p>For years, AI developers faced what's known as the <strong>N × M integration problem</strong>.</p> <p>Suppose you wanted three different AI models to interact with five external services — G…
<p>This is article 4 of 8 in my Oracle Database Skills series.</p> <p>Key Takeaways</p> <ul> <li>Managed MCP moves the action surface into the database itself. Tools run under real database identities with existing network controls, VPD policies, and audit trails already in force…
<h2> The Problem </h2> <p>If you've ever tried to automate a signup flow with an AI agent, you've hit this wall: the service sends a verification email, and your agent has no way to read it.</p> <p>The agent can fill out forms, click buttons, navigate pages. But when the flow say…
Medium — MCP tag
TIER_1English(EN)·ranjani renganathan·
<p><strong>Last week I made a claim:</strong> <a href="https://dev.to/alexboissonneault/your-ai-assistant-cant-read-your-pipeline-heres-why-thats-a-problem-2p2a">your AI assistant can't actually read your pipeline.</a></p> <p>A lot of people agreed. A few pushed back: "Can't you …
<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://curatedmcp.com/install/github-mcp-server/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> GitHub MCP Server: Let Your AI Agent Push Code, Review PRs, and Manage Issues </h1> <…
dev.to — MCP tag
TIER_1English(EN)·osman uygar köse·
<blockquote> <p><strong>TL;DR</strong>: Learn how to give Claude and other AI agents controlled access to your databases through MCP (Model Context Protocol) with enterprise-grade security, audit logging, and cost optimization using SQLatte.</p> </blockquote> <h2> 🤔 The Problem <…
the model is not the moat — the tooling is. MCP (Model Context Protocol) is the REST of the AI era. small context-specific tools beating huge monoliths. the future is composable. #AI #mcp #devtools
<p>The rise of AI Agents has changed the way we think about software systems.<br /><br /> Modern AI applications are no longer just chatbots. They are gradually becoming intelligent systems capable of reasoning, planning, and interacting with the external world.</p> <p>However, a…
Medium — MCP tag
TIER_1English(EN)·Mohsin Murtuza·
<p>I remember being very confused when I first heard about an LLM's ability to request code execution. This feature has been called various names: tool, action, plugin, function. Now the terminology is settling on a single name: tool. However, talking to other developers and read…
Medium — MCP tag
TIER_1Nederlands(NL)·Dheeraj Nalla·
<h2> TL;DR </h2> <p>Autonomous coding agents are good at writing code. They are bad at knowing <strong>what's actually risky</strong> about the code they just wrote.</p> <p>I built <strong><a href="https://github.com/vighriday/Veris" rel="noopener noreferrer">Veris</a></strong> -…
<blockquote> <p><em>Install guide and config at <a href="https://curatedmcp.com/install/local-ydb-unofficial-mcp-server/claude-desktop" rel="noopener noreferrer">curatedmcp.com</a></em></p> </blockquote> <h1> Local-YDB unofficial mcp server: Give AI agents direct access to your Y…
<p>What MCP Actually Does to Your Notes<br /> MCP (Model Context Protocol) is the bridge between your AI tools and your files. Without it, your AI assistant is isolated. It can answer questions, but it cannot touch your actual documents. You have to copy content into a chat windo…
<p>If you've ever bootstrapped a Spring Boot + Vue project by hand, you know the routine: pick a build tool, glue in a frontend, add JPA, choose a database driver, wire Liquibase, remember the Maven wrapper, look up that one annotation for the seventh time this year. By the time …
<p><strong>Have you ever wondered where all the tools for AI agents actually are?</strong></p> <p>Right now, new MCP servers are being built every day—tools that let AI agents interact with files, databases, Slack, websites, APIs, and real-world systems—but most of them are <stro…
dev.to — MCP tag
TIER_1English(EN)·Chandrani Mukherjee·
<h1> MCP vs API: Understanding the Future of AI Tool Integration </h1> <p>As AI systems become more capable, the way applications interact with<br /> tools, services, and data sources is evolving. Traditionally, developers<br /> relied on <strong>APIs (Application Programming Int…
dev.to — MCP tag
TIER_1English(EN)·Ismail zamareh·
<p>The Model Context Protocol (MCP) is reshaping how AI applications connect to the world. Introduced by <strong>Anthropic in November 2024</strong>, MCP provides a standardized, open-source framework for Large Language Models (LLMs) to interact with external tools, data sources,…
<h2> <em>A deep technical guide to multi-agent orchestration, knowledge retrieval via Model Context Protocol, hallucination control, and serverless deployment — patterns extracted from real production systems.</em> </h2> <h2> The Gap Between Demo and Production </h2> <p>You've se…
dev.to — MCP tag
TIER_1English(EN)·Anjaiah Methuku·
<p>The Model Context Protocol (MCP) lets AI assistants like Claude talk directly to Snowflake in real time — no custom API glue needed. This guide covers architecture patterns, RSA key-pair auth, Snowflake RBAC setup, production-tested SQL query patterns, and a full deployment ch…
Medium — MCP tag
TIER_1English(EN)·Nikita Budholiya·
<p>every agent project that touches payments ends up re-implementing the same governance logic: spending caps, approval workflows, audit logs.</p> <p>the missing piece is a standard MCP server that handles payments, invoicing, and reconciliation with policy enforcement built in.<…
<h1> The complete x711 MCP guide: 30+ tools for every AI coding environment </h1> <p>x711 exposes its full tool suite as a Model Context Protocol server. One config block, works in every MCP-compatible client.</p> <h2> Supported clients </h2> <div class="table-wrapper-paragraph">…
<p><strong>AI shopping agents have no standard way to verify merchants — so we built one (MCP + verification API)</strong></p> <p>AI agents are beginning to make purchasing and recommendation decisions on behalf of users.</p> <p>But there's a quiet infrastructure problem nobody's…
<p>The Model Context Protocol gave AI agents a clean way to reach into systems. In a year it has become the default tool surface for serious agents. That is mostly good news. The mostly is the operative word.</p> <p>Without care, MCP servers fragment the audit story. Tool calls l…
<p>Every AI agent needs tools. A web search here, a database query there, a calendar update somewhere else.</p> <p>The problem: every team was building their own connectors, in their own format, from scratch. Until MCP.</p> <h2> What Is MCP? </h2> <p>Model Context Protocol (MCP) …
<p>MCP servers let AI agents use tools. But the real unlock is agents paying agents.</p> <p>Here's the vision behind AgentPay:</p> <p><strong>Today:</strong> Humans buy subscriptions for AI tools<br /> <strong>Tomorrow:</strong> AI agents hold scoped budgets, spend autonomously</…
<h2> What is MCP? </h2> <p>The <strong>Model Context Protocol (MCP)</strong> is an open standard that lets AI agents connect with external tools, data sources, and services. Think of it as a USB-C port for AI — one standardized interface, infinite capabilities.</p> <p>As an AI ag…
<h2> The Problem: AI Agents Are Expensive and Opaque </h2> <p>Every time you spin up an AI agent — whether it's a coding assistant, a customer support bot, or a data pipeline processor — you're burning through API credits, compute time, and token budgets. The problem is that <str…
<p>Korean entertainment data is surprisingly fragmented. Information about a single drama or film is often scattered across multiple platforms.</p> <p>To solve that, I built a unified Korean entertainment database powered by APIs, web scrapers, and automated sync pipelines. By th…
Medium — MCP tag
TIER_1English(EN)·Brajendra Singh·
<p><em>Every app you've ever shipped was built for a human to click through. That era has an expiry date.</em></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%2Fde…
dev.to — MCP tag
TIER_1English(EN)·Patrick Cornelißen·
<p>MCP becomes especially interesting when it connects AI agents to systems that already exist in enterprise applications.</p> <p>For Java teams, Spring AI is one practical way to build that bridge.</p> <h2> Why build an MCP server? </h2> <p>An MCP server exposes tools or data so…
<p>AI agents can now help users shop — answering natural language queries like "find me the cheapest MacBook Pro in Singapore" or "which retailer has the Nintendo Switch on sale right now." Building this capability requires a product data API and a tool framework that lets the ag…
<h2> The Problem with Web Scrapers </h2> <p>Most developers trying to give AI agents shopping capabilities start with web scraping. It seems obvious — scrape Amazon, scrape Lazada, parse the HTML, done.</p> <p>But scrapers fail in ways that make them unsuitable for AI agents:</p>…
<p>Large Language Models (LLMs) operate in a vacuum. To build autonomous agents that perform market research, track public pricing across e-commerce sites, or analyze real estate listings, you must provide them with real-time access to the web. Static Retrieval-Augmented Generati…
<h2> What I built (in one paragraph) </h2> <p><a href="https://github.com/Armada735/verify-action-mcp" rel="noopener noreferrer"><code>verify-action-mcp</code></a> is a small third-party HTTP service. You POST a <code>(claim, evidence)</code> pair from an AI agent, you get back a…
<p>The 47th agent is when finance shows up. Below 30 agents in production, the Anthropic invoice is one tolerable line item somewhere south of $25,000 a month, and nobody asks who is spending what. Past 30, the line item crosses $25k. By 47, the median fleet I see at ZopDev custo…
<p>I shipped an open-source workflow this week: a 4-agent adversarial code review team that runs on heym and exposes itself as an MCP server. Any coding agent (Cursor, Claude Code, Codex, custom Python, Antigravity) can call into it for a structured second-opinion review on its o…
dev.to — MCP tag
TIER_1English(EN)·Fortune Ndlovu·
<p>I often find that the results from AI tools are opinionated. You ask Claude or Cursor to find something in your codebase and it gives you a best guess, or it uses its own heuristics to decide what's relevant. Sometimes it misses files entirely. You could just <code>grep</code>…
<blockquote> <p><strong>The challenge:</strong> Build an AI agent that uses BuyWhere's MCP-native product catalog API to do something useful with real commerce data. Win a 15-inch M3 MacBook Air.</p> </blockquote> <p>BuyWhere is an AI-native product catalog API — real pricing, av…
<p><strong>Built and open-sourced:</strong> a local MCP server that lets agents pay per call for crypto intelligence — in USDC on Base.</p> <h2> What it does </h2> <ul> <li> <strong>Preflight checks</strong> — should the agent act right now?</li> <li> <strong>Trade decisions</str…
<p><strong>Built and open-sourced:</strong> a local MCP server that lets agents pay per call for crypto intelligence — in USDC on Base.</p> <h2> What it does </h2> <ul> <li> <strong>Preflight checks</strong> — should the agent act right now?</li> <li> <strong>Trade decisions</str…
<p>AI agents are great at reasoning, but they're blind without access to real-world data. If your agent can't search products, compare prices, or discover inventory, it's stuck in theory.</p> <p>Enter <strong><a class="mentioned-user" href="https://dev.to/buywhere">@buywhere</a>/…
<div class="medium-feed-item"><p class="medium-feed-snippet">Modern cloud operations teams are drowning in fragmented operational signals. AWS Health events, scheduled maintenance notifications…</p><p class="medium-feed-link"><a href="https://medium.com/@jsanketh1799/build…
<p>Every AI agent team eventually hits the same wall: you add more MCP servers to give your agent more capabilities, and suddenly the context window is half-full before the first user message even arrives.</p> <p>This is not a hypothetical. A typical five-server MCP setup with ar…
<h1> MCP for Ecommerce Part 2: Build a Real Shopping Agent in 15 Minutes </h1> <p><em>Part 1 covered why ecommerce needs MCP infrastructure. This part shows you how to build an agent that actually shops.</em></p> <p>You have an MCP server. You have product data. Now what?</p> <p>…
<h1> BuyWhere MCP Goes Live: The Open Source Commerce API for AI Agents </h1> <p>Today we are launching BuyWhere MCP — the open-source agent-native product catalog API.</p> <h2> The Problem </h2> <p>AI agents cannot access real ecommerce data. Everything is scraped (unreliable), …
<p>🚀 We are live on Product Hunt!</p> <p>BuyWhere is the first open-source MCP server for cross-market product search — AI agents can search, compare, and discover real products across 50M+ items in 6 markets (SG, US, JP, KR, CN, AU).</p> <p>5 tools, one npm command, any MCP clie…
<div class="highlight js-code-highlight"> <pre class="highlight shell"><code>npx pio-mcp dashboard </code></pre> </div> <p>That's the install. Open a terminal anywhere — your laptop, a fresh VM, a coworker's machine — type one line, and you get a React dashboard wired to Platform…
<p>Hello myself Prathyusha. When I decided to apply to StackOne, I did not send <br /> a resume first. I built something with their platform first.</p> <p>This is the story of building an AI agent using StackOne MCP.</p> <p><strong>What I Built</strong></p> <p>An AI agent that on…
<h2> Live on Product Hunt </h2> <p>BuyWhere is now live on Product Hunt! 🚀</p> <p>An open-source MCP server that lets AI agents search, compare, and discover real products across <strong>50M+ items</strong> in <strong>6 markets</strong>: Singapore, US, Japan, South Korea, China, …
<p>Here's a mistake most AI developers make: they pick one model and use it for everything.</p> <p>It's expensive. It's slow. And for most queries, it's overkill.</p> <p>I helped build SupportMind AI at a hackathon and we did it differently. Here's the routing strategy we used.</…
dev.to — LLM tag
TIER_1English(EN)·Penloom Studio·
<p>You built an AI agent. In the demo it was magic. In the wild it loops, hallucinates a tool call, "forgets" the format you asked for twice, and occasionally does something mildly alarming with your filesystem.</p> <p>Here's the uncomfortable truth after shipping a lot of these:…
Been spending some time auditing an AI agent framework. Not the usual kind of security review — more like: what happens when you map trust boundaries across an architecture where the "user" and the "agent" both have tool access, code execution, and autonomy. Going through it syst…
<p>Agentic AI is software built on a large language model (LLM) that can pursue a goal by taking actions on its own. It uses tools, calls APIs, runs code, and reacts to what it sees, rather than just answering one prompt at a time. The plain definition of what is agentic AI: a mo…
dev.to — LLM tag
TIER_1English(EN)·Mahima Thacker·
<p>When building AI agents, the final answer is only one part of the system.</p> <p><strong>The more useful question is often:</strong><br /> What happened before the agent gave that answer?</p> <p>That is where <strong>observability</strong> comes in.</p> <h2> What is observabil…
<p>If you have built anything with LangChain, CrewAI, or LlamaIndex, you have given an agent a set of tools and watched it decide which to call.</p> <p>Here is the uncomfortable question: what stops it from calling a tool it should never touch?</p> <p>In most setups today, nothin…
<blockquote> <p>TL DR : A security alert comes in. An LLM reads the context, writes a small config fix, and opens a GitHub Pull Request. A second LLM checks the PR. A human merges it (or not). The agent never touches production and never merges by itself. This post explains how i…
dev.to — LLM tag
TIER_1English(EN)·Mahima Thacker·
<p>I’ve been learning more about evaluating AI agents recently, and one thing clicked for me:</p> <p>For agents, checking the final answer is not enough.<br /> You also need to evaluate the path the agent took.</p> <p>Traditional software is usually easier to test because it is m…
<p>Most production agents don't fail because the model is dumb. They fail because a chain of mostly-correct steps multiplies into a mostly-wrong outcome, and nobody notices until a customer does. If you want reliable agents, the first thing to fix isn't the prompt. It's the arith…
<p>Your Kubernetes pods are green. Your API latency is sub-100ms. Your LLM provider reports 99.9% uptime. Yet, your automated loan processing system is currently burning through its monthly API quota in three hours because two agents are stuck in a recursive loop.</p> <p>This is …
🤖 AI Sandbox question Hey all, just want to start by saying I know very little about AI and have just been going down a rabbit hole thinking about multi-agent simulations and had a question I couldn’t find a clear answe... 📰 Source: Artificial Intelligence (AI) 🔗 Link: https://ww…
12 rules of agentic AI for successful enterprise transformation Most AI pilots focus on capability and speed - and skip the hard work of earning trust from the business. https://www. zdnet.com/article/12-rules-of- agentic-ai/ # Tech # Technology # TechNews # AI # Gadgets # Softwa…
<p>I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.</p> <p>So here is my…
dev.to — LLM tag
TIER_1English(EN)·AI Bug Slayer 🐞·
<p>I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.</p> <p>So here is my…
<h2> TL;DR </h2> <ul> <li>Ponytail reduces code by ~54% on average, with a maximum reduction of ~94% in certain cases.</li> <li>It also reduces costs by ~20% and time by ~27%, while maintaining 100% safety.</li> <li>Ponytail achieves these results by making an AI agent think like…
<p>Demos lie. An AI agent that books a meeting, queries an API, and summarizes the result in a slick demo is maybe 20% of the work. The other 80% is everything that happens when the same agent meets a real user, real data, and a Tuesday afternoon when an upstream API is having a …
<p><em>Part 7 of 8 — AI Agents in Practice series.</em><br /> <em>Previous — <a href="https://dev.to/gursharansingh/ai-agents-in-practice-part-6-building-the-production-agent-loop-2lfi">Building the Production Agent Loop (Part 6)</a></em></p> <p>Part 6 ended with a question. The …
dev.to — LLM tag
TIER_1English(EN)·Vladyslav Donchenko·
<p>When an AI agent fails in production, the instinct is to blame the model. Usually that is the wrong place to look.</p> <p>An agent's behaviour is governed as much by its <strong>harness</strong> as by the model underneath — the system prompt, the tools it can call, its memory,…
Ein # KI -Agent, der sich an Gespräche erinnert, Firmenwissen versteht & APIs nutzt? Mit # Java und # SpringAI wird das plötzlich real. Yuriy Bezsonov & @sascha242 nehmen dich mit in die Architektur produktionsreifer # AI Agents. Dive in: https:// javapro.io/de/produktionsreife -…
As organisations rush to deploy AI agents, a critical question remains: who governs the processes those agents are automating? This analysis explores why process intelligence, enterprise architecture and governance are becoming essential foundations for AI adoption — and how ARIS…
<p><em>The Monday Drop — the weekly snapshot of the top open-source AI agents, auto-generated by <a href="https://www.theagenticleaderboard.com" rel="noopener noreferrer">The Agentic Leaderboard</a>.</em></p> <p>This week <strong>ECC</strong> holds #1 with a score of <strong>89.3…
Browser-using AI agents are moving from experiment to operational reality. Instead of just scraping APIs, agents can now navigate live web interfaces to complete workflows. If your team relies on manual web-based data entry, start planning for automation now. # AI
dev.to — LLM tag
TIER_1English(EN)·Rishabh Poddar·
<p>Sakana AI's Fugu is a good example of where the industry is heading.</p> <p>Instead of trying to win with one massive model, it coordinates a pool of strong models well. On the surface, Fugu is presented as a single API, but under the hood, it behaves like a learned manager th…
<h2> The Most Expensive "I'll Do It Later" I Ever Saw </h2> <p>I once ran an autonomous agent for over 1,000 cycles. On Cycle 696, it wrote in its journal:</p> <blockquote> <p>"I need to write a deduplication script, or data will keep piling up."</p> </blockquote> <p>This sounds …
<p>I spent months building an LLM scoring pipeline that processed 10,000 job listings a day. It worked beautifully in staging. Then it hit production and the bills started climbing fast.</p> <p>The problem wasn't the model. The problem was that I had built a demo, not a productio…
<p>People keep talking about agent loops because they make an AI agent actually do useful work instead of just sounding smart.</p> <p>Without a loop, a model answers a question and stops. With a loop, it can keep going: analyze the task, take action, inspect the result, and decid…
Show HN: Lelu – authorization engine that catches manipulated AI agents Lelu는 AI 에이전트의 권한 부여를 위한 오픈소스 엔진으로, 프롬프트 인젝션, 낮은 신뢰도 결정, 이상 행동 등으로 조작된 합법적 에이전트의 위험 행위를 탐지한다. API 인증, 프롬프트 인젝션 필터링, 신뢰도 평가, 정책 평가, 위험 모델링, 인간 검토 큐 등 다단계 검증 파이프라인을 제공하며, OpenAI, Anthropic, LangChain 등과 호환된다. S…
<p>A <strong>Chain</strong> knows every step before it runs. You define step one, step two, step three — and it executes them in order. That works when the problem is well-understood. But what happens when you <em>don't</em> know the steps in advance? When the output of one step …
<p>In March 2026, a financial services company found its customer-facing AI agent had been leaking internal pricing data for three weeks. No SQL injection, no buffer overflow — an attacker just asked a carefully worded question that made the bot ignore its system prompt.<br /> No…
<p>I want to walk through the public AI-agent incidents from the last sixteen months in chronological order. The headline framing on each of them, when they hit the press, was <em>the AI did X.</em> Read with a few months of distance, the structural cause in each case turns out t…
<blockquote> <p>Originally published at <a href="https://www.kunalganglani.com/blog/generative-ai-vs-agentic-ai-vs-agents" rel="noopener noreferrer">kunalganglani.com</a> — read it there for inline code, hero image, and live links.</p> </blockquote> <p>Generative AI vs agentic AI…
<p>I've seen teams burn through their entire AI budget in weeks. Not because they built the wrong thing. Because they never looked at how each request flows through their pipeline.</p> <p>That's the hidden cost of AI agents. It's not the API pricing page. It's the architecture de…
<h2> <strong>Chapter 1: The Invisible Hand in the Machine</strong> </h2> <p>Imagine a world where your AI assistant doesn't just answer questions, but proactively anticipates your needs, schedules meetings, drafts emails, and even negotiates contracts – all without explicit instr…
Agentic AI is a shift from tools that talk to partners that act. Moving beyond GenAI's output, agents plan and execute complex workflows. This requires us to rethink UX, moving from usability to deep trust and accountability. Explore the new research playbook: https://www. smashi…
<p>In October 2025, a developer building an AI-powered website tool stepped away from their desk to get coffee. They had kicked off a suite of seven autonomous agents to run a test. Two hours later, they checked their API dashboard: the bill had jumped $200. One agent had been ru…
<h2> The 97% Warning: Why Italian Banks Fear AI Agents </h2> <p>In a room of 100 top Italian banking executives, 97 are pointing at the same shadow on the wall. This isn't fear of a market crash, a recession, or a new wave of regulation. The anxiety gripping Italy's financial lea…
<p>In April 2026, Anthropic published a blog post called <em>"The advisor strategy: Give agents an intelligence boost"</em>, naming a pattern they had been A/B-testing in production: a cheaper model runs the agent loop end-to-end, an expensive model is consulted only when the che…
<p>Anthropic quietly released Claude 4.5 — not a generic capability upgrade, but a targeted one: agentic scenarios specifically.</p> <p><strong>Claude 4 vs Claude 4.5:</strong> Claude 4 focused on extreme coding and extended sessions. Claude 4.5 focuses on making AI agents work r…
dev.to — LLM tag
TIER_1English(EN)·hhhfs9s7y9-code·
<h1> Why Your AI Agent Needs Self-Healing (Not Just Retry Logic) </h1> <p>Every AI agent you deploy will crash. Not "might" — <strong>will</strong>. The question is how fast it gets back up.</p> <p>Most teams think retry logic is enough. Add a <code>time.sleep(2)</code> in a loop…
<p>I've been collecting the disclosed cases of LLM apps leaking data, and the thing that struck me isn't that they happen — it's how identical they are. Different companies, different products, same exact shape. If you build LLM apps, this is the pattern worth burning into memory…
Nous Research wprowadza Profile Builder – graficzny interfejs dla Hermes Agent, który pozwala na tworzenie izolowanych instancji AI i zarządzanie protokołami MCP bez użycia terminala. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/age…
<h1> AI Agents: Why Simple Chains Beat Complex Orchestration </h1> <p>I've built nine AI features into CitizenApp, and I keep seeing the same pattern: developers get seduced by "agentic" architectures when a straightforward chain of function calls would work better.</p> <p>Let me…
MetaMask wprowadza Agent Wallet – portfel self-custodial dla AI, który eliminuje konieczność przekazywania botom kluczy prywatnych i oferuje ochronę przed stratami do 10 000 USD. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/agenci-a…
<p>Giving production API tokens to a hallucinating LLM is like giving a toddler a flamethrower and hoping for the best. We would never give a junior developer root access on day one. Yet, teams are handing over production access to models that are statistically guaranteed to hall…
dev.to — LLM tag
TIER_1English(EN)·AI Bug Slayer 🐞·
<p>I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.</p> <p>So here is my…
<p>Tuesday afternoon, every autonomous cycle in my agent started returning the same error:</p> <p>[AGENT] Cycle failed: 404 No endpoints found for model: google/gemma-2-9b-it:free</p> <p>The model hadn't changed in my config. The provider hadn't gone down. The endpoint just... wa…
FYI: Microsoft Web IQ: the grounding API that could reshape AI agents: Microsoft launches Web IQ, a suite of grounding APIs connecting AI agents to live web data with sub-165ms latency, passage retrieval, and Bing's global index. https:// ppc.land/microsoft-web-iq-the- grounding-…
ICYMI: Microsoft Web IQ: the grounding API that could reshape AI agents: Microsoft launches Web IQ, a suite of grounding APIs connecting AI agents to live web data with sub-165ms latency, passage retrieval, and Bing's global index. https:// ppc.land/microsoft-web-iq-the- groundin…
Microsoft Web IQ: the grounding API that could reshape AI agents: Microsoft launches Web IQ, a suite of grounding APIs connecting AI agents to live web data with sub-165ms latency, passage retrieval, and Bing's global index. https:// ppc.land/microsoft-web-iq-the- grounding-api-t…
<p>The AI industry is racing toward larger context windows.</p> <p>Models now accept hundreds of thousands or even millions of tokens. Agent frameworks coordinate dozens of specialized workers. Memory systems store increasingly large traces. Tool execution histories continue to g…
<p>Run a AI agents on free, local Qwen, keep every byte on your own hardware, and prove cryptographically what it did. Signer and verifier included. For AI builders and architects.</p> <p>By the end of this you will have an AI agent that costs nothing per token, never sends a byt…
Honored to be quoted in a new Dice.com article on Model Context Protocol (MCP). We’re moving from AI chat experiences to operational AI systems connected to tools like Slack, Jira, and Confluence. Read more in my blog: https://www. buchatech.com/2026/05/quoted-i n-dice-com-articl…
<h2> Quick Summary: 📝 </h2> <p>Unity MCP is a C# integration tool that bridges AI assistants with the Unity Editor. It allows LLMs to directly manage Unity assets, control scenes, edit scripts, and automate development tasks through the Model Context Protocol.</p> <h2> Key Takeaw…
the model is not the moat — the tooling is. MCP (Model Context Protocol) is the REST of the AI era. small context-specific tools beating huge monoliths. the future is composable. #AI #mcp #devtools
MCP, A2A e AG-UI: lo stack dei protocolli per agenti AI nel 2026 MCP, A2A e AG-UI non sono standard in competizione: sono tre protocolli complementari che operano a livelli diversi dello stack degli agenti AI. Una guida pratica per capire quando usare ciascuno. https:// spcnet.it…
A tutorial explains how to build an MCP-style routed AI agent system combining tool discovery, intelligent routing, structured planning, and execution for autonomous multi-step automation. The system uses a hybrid router with heuristics and LLM reasoning to dynamically decide whi…
<p>One line in your Claude Desktop configuration file, and your Claude agent gets a wallet with 45 MCP tools for autonomous DeFi trading. No more copying transaction hashes between ChatGPT and MetaMask — Claude can now swap, lend, stake, and bridge tokens directly through WAIaaS'…
📰 The AI world is advancing with loop-based agentic AI, which authorizes a swarm of agents to continuously work in the background, endlessly. 🔗 https:// techcrunch.com/2026/06/22/the- ai-world-is-getting-loopy/ # Tech # AI
The loop takes agentic AI a step further by authorising a swarm of agents to work continuously in the background, endlessly. Boris Chernys framework lets agents spawn sub-agents, coordinate and self-improve without human intervention. The shift from prompt-response to perpetual o…
You have built your AI agents using top notch model from your provider. And here comes # krasnov , and in 90 minutes ! ( not months, not days, but minutes, lol), your super-duper model stops working. Ah, really …. So then, why should I keep paying that provider, I ask … # ai # di…
🤖 Enterprises Boost AI Governance for Autonomous Agents Enterprises are increasingly adopting comprehensive governance frameworks for autonomous agentic AI systems driven by Large Language Models to address security, privacy, and compliance challenges. A recent arXiv paper introd…
Analiza ekspertów z Oksfordu ujawnia krytyczne luki w kontroli nad agentami AI programującymi w laboratoriach technologicznych. Opóźnione audyty i psychologiczne uleganie sugestiom maszyn mogą trwale obniżyć standardy bezpieczeństwa kodu. # si # ai # sztucznainteligencja # wiadom…
🤖 AI agent reliability progress lags behind capability gains Despite rapid capability progress in AI agents over the past two years, reliability gains have been modest, falling short of industry expectations. A recent study by Stephan Rabanser, Sayash Kapoor, and Arvind Narayanan…
"How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks" We present the first systematic study of token consumption patterns in agentic coding tasks. We find that: (1) agentic tasks are uniquely expensive, consuming 1000x more tokens…
A Complete Guide to AI Agents by Samir Solanki is a new release on Leanpub! From LLMs and RAG to Memory, MCP, Agent Frameworks, and Enterprise AI Controls—discover how modern AI Agents are designed, connected, and deployed within today's rapidly evolving AI ecosystem. Link: https…
Vercel has released Eve, a no-code AI agent builder designed for non-technical users. The platform enables anyone to create autonomous AI agents through a visual interface, lowering the barrier to entry for automation. https://www. marktechpost.com/vercel-releas es-eve-a-no-code-…
AI agents in live operations demand new standards and management frameworks to ensure organizational readiness, bridging the gap between ambition and preparedness # ai # management https:// wesearch.press/s/ai-agents-in- live-operations-require-new-standards-and-manag-6a22ac33?ut…
As AI agent adoption grows, enterprises face escalating token consumption and infrastructure costs. Here, Kit Cox explores LLM cost optimisation strategies, from micro-agents and smaller models to improved visibility and ROI measurement. Full article here: https://www. techfiniti…
AI agents are becoming customers in their own right. Marketers must now target machine agents that retrieve and validate information for answer engines, shifting marketing towards business-to-agent strategies. https://www. forrester.com/blogs/ai-agents- are-your-new-customer-but-…
Three open-source AI agent skill managers have each reached 2,000 GitHub stars in months. Problem: skills are natural-language instructions agents execute with full file and shell access. Only one of the three scans skill files for attacks before use. That's a supply-chain gap wo…
AI agents are not just chatbots. Once they can reset, approve, publish, delete, or change things, they need real security controls. In episode 437, I discuss guardrails for AI agents: least privilege, read-only first, human approval, separate contexts, logging, and prompt-injecti…
One of the reasons i love sandboxes for AI agents is, that it is really difficult to quickly understand, if a command from the AI is secure or not. "Ha, how hard can that be?!" you ask? Well, test yourself in this little experiment: https:// llmgame.scalex.dev/ # AI # AIAgents # …
AI agents in business automation: the shift from requiring a team of operators to configuring and monitoring an agent. Legal firms use them for precedent search, marketing teams for real-time competitor analysis. The entry barrier is lowering, but the question of trust and accoun…
Autonomiczni agenci AI potrafią wykrywać luki w kodzie szybciej niż jakikolwiek audytor, stawiając pod znakiem zapytania bezpieczeństwo 155 miliardów dolarów ulokowanych w DeFi. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/agenci-ai…
AWS przebudowuje swoje usługi pod autonomicznych agentów AI, wprowadzając nową generację OpenSearch Serverless zaprojektowaną do ekstremalnego skalowania i pracy w trybie przerywanym. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/age…
Nous' Hermes Agent now includes Tool Search for MCP, cutting the token overhead of AI agent tool definitions by up to 50%. The update tackles a growing problem as agents connect more MCP servers, with some deployments using 45,000 tokens per turn just for tool schemas. https://ww…
🧠 L’uso di server # MCP connessi ad agenti # AI è ottimo per prototipazione, demo ed esecuzioni in ambienti chat o CLI. ‼️ Non per applicazioni in produzione. 👉 Alcune riflessioni: https://www. linkedin.com/posts/alessiopoma ro_mcp-ai-ai-activity-7458396000857116672-q4qe ___ ✉️ 𝗦…
<!-- SC_OFF --><div class="md"><p>I love the speed of autonomous AI coding agents, but I keep running into a massive trust issue: Silent Scope Creep.</p> <p>I’ll give an agent a strict, narrow task: "Fix the retry logic in src/auth.ts."</p> <p>It fixes it perfectly. But…
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1uarrlj/launching_the_agentic_ai_world_cup_design_a/"> <img alt="Launching the Agentic AI World Cup — Design a multi-agent swarm visually to win up to $100" src="https://external-preview.redd.it/NHgxMms0aTJrZThoMa…
<!-- SC_OFF --><div class="md"><p><a href="https://reddit.com/link/1tydr1m/video/tat9wngg3n5h1/player">https://reddit.com/link/1tydr1m/video/tat9wngg3n5h1/player</a></p> <p>hey, i made fennara for godot.</p> <p>it works both as an in-editor plugin and as mcp, so you can use it wi…
