AIMCPMCP Servers & Clients
Browse the collection of community-curated MCPs to enhance your AI workflows.
Efficient implementation of the Google Drive MCP server
An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).
A proof-of-concept implementation of a Model Context Protocol (MCP) server that runs in WebAssembly (WASM) within a web browser. This project demonstrates the integration of MCP tools and resources in a browser environment.
MCP server implementation designed for integration with Apache Airflow.
Serve tRPC routes as an MCP server
A server acting as a Multi-Client Proxy (MCP) for the Story Protocol SDK, managing multiple client instances for different blockchain environments.
Python script to get calendar events from Outlook for the current day.
MCP Server to retrieve documentation for a package
The MATLAB MCP server provides AI users with powerful scientific computing and data analysis capabilities. It allows users to execute MATLAB code directly in conversations, generate MATLAB scripts from natural language descriptions, and access MATLAB documentation.
This server implements an MCP (Model Context Protocol) server with WebSocket enhancements for real-time data updates.