MCP Guide
Provides an open protocol and comprehensive guide for connecting AI models to external data and tools.
关于
The Model Context Protocol (MCP) Guide serves as a comprehensive resource for understanding and implementing MCP, an open protocol designed to empower AI models with the ability to interact seamlessly with external data sources and diverse tools. This guide details how to set up MCP servers to expose functionalities like web search, file operations, and custom API calls, enabling AI models to perform complex tasks by leveraging a dynamic ecosystem of external capabilities. It outlines core architectural concepts, provides step-by-step installation and execution instructions, showcases available tools, and demonstrates integration examples with popular frameworks such as LangGraph.
主要功能
- Support for stdio and streamable-http transports
- 5 GitHub stars
- Extensible framework for adding custom tools
- Open protocol for AI model-tool integration
- Client-server architecture for tool exposure
- Integration examples with LangGraph
使用案例
- Extending AI model capabilities with custom functions and API calls
- Building sophisticated AI agents with external tool access
- Enabling AI models to access real-time information via web search
