Model Context Protocol (MCP) Implementation

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is an open protocol that enables AI assistants to interact with external tools and data sources, providing a modular framework for building MCP-compatible servers and clients.

How to use the project?

To use the MCP implementation, clone the repository, install the dependencies, and run the provided examples for STDIO or HTTP+SSE servers and clients.

Key features of the project?

• JSON-RPC 2.0 message handling
• Protocol initialization and capability negotiation
• Tool registration with JSON Schema
• Standardized error handling and tool invocation
• Support for STDIO and HTTP+SSE transports

Use cases of the project?

1. Building AI tools that require interaction with external data sources.
2. Creating custom servers and clients that adhere to the MCP framework.
3. Debugging and monitoring MCP servers using the MCP Inspector.

FAQ from the project?

• What is the purpose of MCP?

MCP allows AI assistants to communicate with various tools and data sources in a standardized way.

• Is there a visual interface for debugging?

Yes, the MCP Inspector provides a visual interface for monitoring and debugging MCP servers.

• What are the prerequisites for running the project?

You need Node.js 20.x or later and npm or pnpm to install the dependencies.