Model Context Protocol (MCP) 简介
文章目录
- Model Context Protocol (MCP) 简介
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- Why MCP?
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- General architecture
- Introduction
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- Why MCP?
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- General architecture
- Get started
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- Quick Starts
- Examples
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- Tutorials
- Explore MCP
- Contributing
- Support and Feedback
- For Server Developers
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- What we'll be building
- Core MCP Concepts
- Test with commands
- What's happening under the hood
- Troubleshooting
- Next steps
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- For Client Developers
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- Next steps
- Example Servers
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- Reference implementations
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- Data and file systems
- Development tools
- Web and browser automation
- Productivity and communication
- AI and specialized tools
- Official integrations
- Community highlights
- Getting started
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- Using reference servers
- Configuring with Claude
- Additional resources
- Example Clients
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- Feature support matrix
- Client details
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- 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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