JSON-RPC 2.0
PulseAugur coverage of JSON-RPC 2.0 — every cluster mentioning JSON-RPC 2.0 across labs, papers, and developer communities, ranked by signal.
11 day(s) with sentiment data
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AI agents vulnerable to indirect prompt injection via MCP workflows
A tutorial details how to audit and exploit indirect prompt injections within the Model Context Protocol (MCP) server workflows. This vulnerability, also known as Cross-Domain Prompt Injection (XPIA), arises when AI age…
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PHP stdio MCP server implementation details for reliable agent communication
This article details the implementation of a conformant stdio MCP server using PHP, focusing on the challenges and solutions for reliable communication between a coding agent and a server process. Key aspects covered in…
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New tool converts OpenAPI specs to Claude Desktop tools in seconds
A new open-source tool called MCP Bridge simplifies the process of integrating existing OpenAPI-documented APIs with Claude Desktop. Previously, developers had to write custom code to map API operations to the Model Con…
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AI agents benefit from separating facts from instructions
This article discusses the importance of separating factual data from instructional prose within AI agent contexts. It argues that while prose is effective for nuanced instructions and judgments, structured data formats…
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xbrowser ships MCP server for AI agent integration
The Model Context Protocol (MCP) is emerging as the standard for AI agents to discover and interact with CLI tools. The xbrowser team developed and shipped an MCP server for their browser automation CLI, xbrowser mcp, i…
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Untracked AI servers exploit developer tools, posing security risks
Untracked Model Context Protocol (MCP) servers are spreading rapidly on developer machines, posing significant security risks. These servers, often installed via simple JSON file edits, run with inherited developer cred…
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curlhub.sh now supports MCP for accurate AI-generated curl commands
curlhub.sh has been updated to function as a Model Context Protocol (MCP) server, enabling AI assistants to correctly generate and execute curl commands. This new functionality addresses a common issue where language mo…
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Model Context Protocol (MCP) enables AI models to access external data
The Model Context Protocol (MCP) is an emerging standard enabling AI models like Anthropic's Claude to securely access external data and tools. This protocol acts as a bridge, allowing Java applications to expose resour…
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MCP endpoints serve AI models, not developers, with discovery-first protocol
The article explains the concept of a Model-Centric Protocol (MCP) endpoint, which is designed to serve AI models rather than human developers. Unlike traditional APIs, MCP endpoints use JSON-RPC 2.0 and a single `/mcp`…
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Business Apps Integrate Model Context Protocol for Secure AI Interaction
A company has implemented the Model Context Protocol (MCP) across 49 of its business applications, enabling them to interact with language models. The protocol allows for read-only access to data, preventing models from…
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AI agents now directly control Burp Suite for penetration testing
A new approach integrates AI agents directly with penetration testing tools like Burp Suite, streamlining the security workflow. This system, utilizing OpenCode, Model Context Protocol (MCP), and a Burp Suite MCP Server…
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Autonomous agents integrate MCP, A2A, and MPP for complex task execution
The article details how autonomous agents can operate by integrating three key protocols: MCP for tool discovery, A2A for inter-agent coordination, and MPP for transaction processing. MCP enables agents to find and unde…
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AI developers often misunderstand Model Context Protocol design, leading to integration failures
The Model Context Protocol (MCP) is crucial for AI systems interacting with external data, particularly for Claude Certified Architect (CCA) candidates. Developers often make common mistakes when designing MCP servers, …
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Microsoft enables Azure Logic Apps as AI agent tool servers
Microsoft has enabled Azure Logic Apps to function as MCP servers, allowing AI agents to utilize over 1,400 connectors as tools. This preview feature, available since March 2026, offers two setup approaches: a direct me…
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Developer integrates AI assistants with calculator tools via MCP server
A developer has created an MCP (Model Context Protocol) server using Cloudflare Workers to allow AI assistants like Claude to directly call external tools, rather than guessing at calculations. This server, built with J…
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MCP protocol shifts to Streamable HTTP, deprecating legacy SSE transport
The MCP protocol has transitioned from an older HTTP+SSE transport to a newer Streamable HTTP transport, with the change officially documented on March 26, 2025. Both transports carry JSON-RPC 2.0 messages but differ si…
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Troubleshooting MCP Server Initialization Failures: A Diagnostic Taxonomy
This article provides a diagnostic taxonomy for troubleshooting initialization failures in MCP (Message Communication Protocol) servers. It outlines common issues such as incorrect endpoint paths, using GET instead of P…
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Model Context Protocol governance explained for enterprise AI agents
The Model Context Protocol (MCP) is an open standard that simplifies AI agent integrations by providing a uniform client-server architecture for tool discovery and execution. However, this dynamic nature introduces sign…
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Model Context Protocol standardizes AI tool integration, leaving security to users
The Model Context Protocol (MCP) aims to standardize AI tool integration by providing a client-server protocol built on JSON-RPC 2.0. This protocol allows a single host application to connect to multiple servers exposin…
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Developer builds Node.js server to fix LLM timestamp bugs
A developer has created a zero-dependency Node.js server for tsforge-mcp, designed to address timestamp and date-related bugs that large language models often mishandle. The server implements boundary-correct algorithms…