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A step-by-step guide on how to connect a custom MCP server to the web chat UIs of Claude and ChatGPT, detailing the configuration steps required.
The Model Context Protocol receives a major update, transforming it into a stateless protocol with improved scalability, governance, and security for enterprise AI integration.
MCP Atlassian is an open-source Model Context Protocol server that lets AI assistants directly search, read, create, and update Jira and Confluence content, eliminating manual copying.
Taskwarrior MCP is a Model Context Protocol server that allows AI assistants to manage Taskwarrior tasks. It exposes task operations, filters, and reusable prompts, enabling assistants to act on task data.
A weekly roundup of four trending open-source repos for AI agent builders, including FastMCP for Model Context Protocol, WrenAI for natural language database queries, KTransformers for LLM optimization, and Open Interpreter for a code-executing AI assistant.
The Model Context Protocol (MCP) is getting an update to adopt a stateless approach, eliminating session ID management issues and making it easier to run at scale across multiple servers, which could boost enterprise AI agent adoption.
At SIGGRAPH 2026, NVIDIA unveils a slate of graphics and AI advancements including Model Context Protocol integrations for creative tools, the Cosmos 3 Edge open world model, a synthetic video detector NIM microservice, and NemoClaw on DGX Station, highlighting agentic and physical AI.
Raises security concerns about blindly trusting MCP server allowlists without reviewing tool schemas, comparing it to piping curl into bash in 2013.
This article explains the Model Context Protocol (MCP) for building pluggable AI agent architectures, detailing lessons from building an MCP server at Sentry, including OAuth 2.1 integration, designing agent-friendly tool interfaces, and current ecosystem limitations.
The article critiques MCP (Model Context Protocol), arguing that it has significant flaws or is detrimental to AI development.
This thread explores rethinking MCP (Model Context Protocol) beyond simple service integrations, highlighting generalized capabilities like search and execute, as demonstrated by Kody, a personal assistant that runs on Cloudflare and can be used by any agent.
A discussion on whether the Model Context Protocol (MCP) remains relevant as AI agents increasingly crawl websites or Swagger/OpenAPI docs directly, comparing the reliability and advantages of each approach.
This PDF report examines the current state of security for the Model Context Protocol (MCP), covering vulnerabilities and best practices.
A developer built an iOS app called Maha OS that uses the Model Context Protocol (MCP) to allow AI agents like Claude to monitor live Apple Health biometrics and trigger a screen-lock breathing reset when stress is detected. The post seeks technical testers to break the MCP integration.
This research demonstrates that text-based safety guardrails fail to detect attacks on LLM agents with tool access, as attacks are embedded in tool-call sequences rather than text, achieving a high bypass rate against state-of-the-art defenses.
A curated list of three notable AI papers from the week: a self-improvement framework (Red Queen Gödel Machine), design patterns for MCP servers, and a study on reward verification in RL for coding agents.
Kody is an experimental personal assistant platform built on Cloudflare Workers and MCP; a recent update simplifies integration setup for agents.
Mcpsnoop is an open-source transparent proxy with a live terminal UI that sits between AI clients and MCP servers, showing real-time JSON-RPC traffic for debugging tool calls, capabilities, and performance without setup.
Apple introduces the Safari MCP server, a Model Context Protocol server that lets AI agents connect to Safari to debug, analyze performance, and check accessibility, streamlining web development workflows.
Garry Tan changes his stance on MCP after a talk and campaign at the aiDotEngineer event in SF.