Implement the Model Context Protocol (MCP) by building AI tools with a modular framework for creating MCP-compatible servers and clients.
Implement the Model Context Protocol (MCP) by building AI tools with a modular framework for creating MCP-compatible servers and clients.
This project implements the Model Context Protocol (MCP) for building AI tools. It provides a modular framework that can be used to create MCP-compatible servers and clients.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| operation | Operation type |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
gitignore MCP — github/gitignore templates.
Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via
DuckDuckGo search API MCP - A server that provides DuckDuckGo search capabilities through the Model Context Protocol.
MCP server for the Tradovate platform