MCP Servers

This repository hosts an MCP server that integrates MCP clients with Stability AI's Stable Diffusion for image generation, editing, and upscaling, requiring a Stability AI API key. This repository hosts

A MCP server to allow the LLM in Cursor to access Rust Analyzer, Crate Docs and Cargo Commands.

An MCP server that provides LLMs access to other LLMs

The mcp-rs-template is a Rust application template for implementing Model Context Protocol (MCP) CLI servers, enabling seamless integration between LLM applications and external data sources and tools. The mcp-rs-template is

A Model Context Protocol (MCP) server library that gives LLMs access to information about a candidate.

This repository provides a scalable solution for OpenAPI endpoint discovery and API requests, utilizing in-memory semantic search and a FastAPI server to efficiently serve API documentation to MCP clients.

mcp-kafka bridges AI assistants and Kafka, enabling interaction with Kafka clusters through the Model Context Protocol. It allows AI to manage topics, produce messages, and consume data directly from Kafka.

This repository provides a Model Context Protocol (MCP) server for integrating the Microsoft Bing Search API, enabling AI assistants to perform web, news, and image searches. This repository provides a

This repository hosts a Model Context Protocol (MCP) server providing access to Fantasy Premier League (FPL) data and tools for MCP-compatible clients like Claude Desktop, enabling rich player and team information access.

This repository provides a Tinybird MCP server, enabling interaction with Tinybird Workspaces from any MCP client. It supports querying data sources, accessing API endpoints, and pushing datafiles, using SSE and STDIO modes.

This repository hosts an MCP server that bridges AI assistants with Azure DevOps, enabling natural language interaction for work item queries. Planned features include pipeline operations and pull request handling.

This repository showcases an Arduino-based robotic server, "Chotu Robo," integrated with AI using the MCP framework, enabling remote control of hardware components via ESP32 or Arduino Nano 368 for AI-driven applications.

This CodeMirror extension implements the Model Context Protocol (MCP), offering features like resource and prompt autocompletion, resource decorations, and customizable theme support for enhanced text editing. This CodeMirror extension implements

This repository provides an MCP server implementation for retrieving data, specifically PDF documents, from AWS S3, enabling integration with LLMs like Claude by exposing S3 data through resources and tools.

The Bankless Onchain MCP Server enables interaction with blockchain data through the Bankless API, implementing the Model Context Protocol for AI models to access on-chain state and event data in