Model Context Protocol
CreatedPouyaEsmaeili
Facilitates communication between large language models and external tools or data sources using the 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
