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The Model Context Protocol (MCP) is an open standard for AI model communication.
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MCP Blog

Latest insights, tutorials, and updates from the Model Context Protocol team

Documentation
serversmcp-serverllm-tool-accessmodel-context-protocolai-integration

servers: MCP Server Reference for LLM Tool Access and Data Sources

servers provides reference implementations for Model Context Protocol (MCP) servers, enabling Large Language Models (LLMs) to securely access a wide array of tools and data sources. Developers can leverage its TypeScript and Python SDKs to integrate capabilities like database access, file system operations, and Git/GitHub/GitLab integration into their MCP clients.

July 13, 2026
3 min read
awesome-llm-appsmcp-clientai-agentsragllm-apps

awesome-llm-apps: MCP Client for Browser, GitHub, Notion & Travel Agents

awesome-llm-apps is a Python-based MCP Client that aggregates LLM applications featuring AI Agents and RAG. It solves the problem of integrating diverse data sources and services via MCP, enabling developers to build sophisticated AI workflows across platforms like GitHub and Notion.

July 12, 2026
2 min read
funasrmcp-serverspeech-recognitionspeaker-diarization

FunASR MCP Server: Industrial Speech Recognition & Diarization

FunASR is a Python-based MCP Server offering industrial-grade speech recognition, speaker diarization, and emotion detection. It provides a 170x real-time processing speed and supports over 50 languages, making it suitable for developers needing high-performance, multilingual audio processing.

July 11, 2026
2 min read
chatboxmcp-clientchatboxaiollama-integrationdall-e-3

chatbox: Desktop MCP Client for Local LLM & DALL-E-3 Integration

chatbox is a user-friendly desktop MCP Client for AI models, centralizing access to GPT, Claude, Gemini, and Ollama. It solves the problem of managing multiple LLM providers and local models with data privacy, offering image generation and advanced prompting features for developers.

July 10, 2026
2 min read
agentscopemcp-clientmulti-agent-llm

agentscope: LLM Multi-Agent Application Framework and MCP Client

agentscope is a Python-based MCP Client for building LLM-powered multi-agent applications, offering a drag-and-drop workstation and actor-based distribution. It simplifies complex agent system development with robust fault-tolerance and broad model compatibility.

July 10, 2026
2 min read
xiaohongshu-mcpmcp-serverxiaohongshuopenclawgo-mcp

xiaohongshu-mcp: Go-based MCP Server for Xiaohongshu Data Access

xiaohongshu-mcp is a Go-based MCP Server designed to enable AI assistants to directly access data from xiaohongshu.com. It offers flexible deployment options, including deep integration with Openclaw for developers and a zero-configuration browser plugin for non-technical users, simplifying access to Xiaohongshu data via MCP.

July 10, 2026
2 min read
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