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The Model Context Protocol (MCP) is an open standard for AI model communication.
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Latest insights, tutorials, and updates from the Model Context Protocol team

Documentation
casdoormcp-clientiamai-gatewayagent-to-agent

casdoor: AI-First IAM & LLM MCP Client Gateway

casdoor is an open-source, Go-based Identity and Access Management (IAM) and LLM gateway, specifically designed with an AI-first approach. It acts as an MCP Client, providing robust authentication and authorization for AI applications and agent-to-agent communication. Developers building AI systems needing comprehensive identity services and MCP integration will find it particularly useful.

July 25, 2026
3 min read
qwen-agentmcp-clientqwenlmqwen-agentagent-framework

Qwen-Agent MCP Client: Orchestrating Memory, Filesystem, and SQLite Servers

Qwen-Agent is a Python-based agent framework built on Qwen>=3.0, designed to integrate various capabilities including Function Calling, Code Interpreter, and RAG. It functions as an MCP Client, enabling developers to orchestrate external MCP servers like memory, filesystem, and SQLite for enhanced agent functionality.

July 24, 2026
3 min read
free-llm-api-resourcesmcp-serverllm-apifree-inference

free-llm-api-resources MCP Server: Curated Free LLM Access

The free-llm-api-resources MCP Server, a Python project, provides a curated list of free LLM inference resources accessible via API. It solves the problem of discovering legitimate, no-cost LLM API access, making it essential for developers integrating LLMs into prototypes or budget-constrained applications.

July 23, 2026
3 min read
surfsensemcp-servermodsetter-surfsenseopen-web-researchai-agents

SurfSense MCP Server: Open Web Research for Your Agents

SurfSense is an open-source NotebookLM alternative designed for open web research with live data. It provides a suite of connectors as native tools, accessible to your agents via its MCP server. Developers can integrate SurfSense with platforms like Claude or Cursor to empower AI agents with real-time web research capabilities.

July 22, 2026
2 min read
posthogmcp-clientai-observabilityproduct-analytics

posthog: AI Observability and Analytics MCP Client for Self-Driving Products

posthog is a Python-based MCP Client for building self-driving products, offering AI observability, analytics, and developer tools. It captures agent context for diagnosing problems and uncovering opportunities, steerable from Slack, web, desktop, or the MCP.

July 21, 2026
2 min read
antigravity-awesome-skillsmcp-serverai-coding-skillsagentic-skillspython-library

antigravity-awesome-skills MCP Server: 1,404+ Agentic Skills for AI Coding

antigravity-awesome-skills is an MCP Server providing an installable Python library of over 1,400 agentic skills for AI coding assistants like Claude Code, Cursor, and Gemini CLI. It offers structured `SKILL.md` playbooks, bundles, and workflows to enhance AI agent context and output for development tasks. Developers aiming to standardize and scale AI assistant capabilities across multiple tools will find it useful.

July 20, 2026
2 min read
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