python-mcp-server-client
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MCP Server is a server implementing the Model Context Protocol (MCP) to provide a standardized interface for AI models, connecting external data sources and tools like file systems, databases, or APIs.
The Model Context Protocol (MCP) Server is designed to standardize the interface for AI models, allowing them to connect seamlessly with various external data sources and tools. Before MCP, AI models primarily used Function Calls, which varied across different large model vendors and required cumbersome management due to inconsistent input and output formats. MCP acts as a universal connector, akin to USB-C, unifying the Function Call formats and tool encapsulation. MCP supports two main transport protocols: Stdio for local use, requiring command-line tools and specific environment setups, and SSE (Server-Sent Events) for cloud service deployment, utilizing HTTP long connections. The project structure includes both server and client components, with the server supporting Stdio and SSE protocols and the client offering self-built Python clients and integrations with tools like Cursor and Cline.
Features
- Standardized Interface: Provides a unified interface for AI models to connect with external data sources and tools.
- Transport Protocols: Supports Stdio for local use and SSE for cloud deployment.
- Tool Encapsulation: Unifies the encapsulation of various tools, simplifying management.
- Cross-Platform Compatibility: Works with different platforms and tools like Cursor and Cline.
- Open Source: Allows customization and extension for specific use cases.
Tools
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