Model Context Protocol (MCP) 简介

Model Context Protocol (MCP) 简介 文章目录 Model Context Protocol (MCP) 简介 Why MCP? General architecture Introduction Why MCP?

Model Context Protocol (MCP) 简介

文章目录

  • Model Context Protocol (MCP) 简介
    • Why MCP?
      • General architecture
  • Introduction
    • Why MCP?
      • General architecture
    • Get started
        • Quick Starts
        • Examples
    • Tutorials
    • Explore MCP
    • Contributing
    • Support and Feedback
  • For Server Developers
      • What we'll be building
      • Core MCP Concepts
      • Test with commands
    • What's happening under the hood
    • Troubleshooting
    • Next steps
  • For Client Developers
    • Next steps
  • Example Servers
    • Reference implementations
      • Data and file systems
      • Development tools
      • Web and browser automation
      • Productivity and communication
      • AI and specialized tools
    • Official integrations
    • Community highlights
    • Getting started
      • Using reference servers
      • Configuring with Claude
    • Additional resources
  • Example Clients
    • Feature support matrix
    • Client details
      • 5ire
      • AgentAI
      • AgenticFlow
      • Amazon Q CLI
      • Apify MCP Tester
      • BeeAI Framework
      • BoltAI
      • Claude Code
      • Claude Desktop App
      • Cline
      • Continue
      • Copilot-MCP
      • Cursor
      • Daydreams
      • Emacs Mcp
      • fast-agent
      • FLUJO
      • Genkit
      • Glama
      • GenAIScript
      • Goose
      • gptme
      • HyperAgent
      • Klavis AI Slack/Discord/Web
      • LibreChat
      • Lutra
      • mcp-agent
      • mcp-use
      • MCPHub
      • MCPOmni-Connect
      • Microsoft Copilot Studio
      • MindPal
      • Msty Studio
      • OpenSumi
      • oterm
      • Roo Code
      • Postman
      • Slack MCP Client
      • Sourcegraph Cody
      • SpinAI
      • Superinterface
      • TheiaAI/TheiaIDE
      • Tome
      • TypingMind App
      • VS Code GitHub Copilot
      • Windsurf Editor
      • Witsy
      • Zed
    • Adding MCP support to your application
    • Updates and corrections

Why MCP?

MCP helps you build agents and complex workflows on top of LLMs. LLMs frequently need to integrate with data and tools, and MCP provides:

  • A growing list of pre-built integrations that your LLM can directly plug into
  • The flexibility to switch between LLM providers and vendors
  • Best practices for securing your data within your infrastructure

General architecture

At its core, MCP follows a client-server architecture where a host application can conne

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