Model Context Protocol

About

Implements the Model Context Protocol (MCP), enabling LLMs to interact with external resources via a client-server architecture using JSON-RPC 2.0. It allows servers to expose tools, resources, and prompt templates to clients, fostering seamless integration between LLMs and a wider range of functionalities. With support for both SSE over HTTP and stdin communication, it provides flexibility for local and network-based interactions.

Key Features

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• Implements a client-server architecture with JSON-RPC 2.0
• Includes low-level APIs for customizable server implementation
• Supports SSE over HTTP and stdin communication
• Provides tools, resources, and prompt templates to LLMs
• Offers FastMCP for rapid server implementation

Use Cases

• Building AI agents that can interact with external services
• Creating LLM-powered applications that require access to real-time data
• Developing custom tools for LLMs to perform specific tasks