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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

6,854 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Production-ready API server template integrating FastAPI with Model Context Protocol (MCP) for LLM integration, structured logging, and comprehensive testing.
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    A minimal CRUD API for items that exposes FastAPI endpoints as MCP tools, enabling natural language interaction with a database through PydanticAI agents.
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    MIT License
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    A FastAPI library that provides Model Context Protocol tools for endpoint introspection and OpenAPI documentation, allowing AI agents to discover and understand API endpoints.
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    MIT License
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    A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
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    A zero-configuration tool that automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools, enabling AI systems to interact with your API through natural language.
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    MIT License
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    A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.
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    9
    Python
    MIT License

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    A zero-configuration tool that automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools, allowing LLM systems like Claude to interact with your API without additional coding.
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    MIT License
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    A FastAPI server implementing the Model Context Protocol (MCP) for structured tool use, providing utility tools including random number generation, image generation via Azure OpenAI DALL-E, and AI podcast generation.
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    A REST API built with FastAPI that exposes endpoints via Model Context Protocol (MCP), allowing clients to interact with CRUD operations through MCP interfaces.
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    MIT License
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    A sample FastAPI project that implements the Model Context Protocol (MCP), allowing AI assistants to connect to a PostgreSQL database and manage notes through natural language interactions.
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    A high-performance Model Context Protocol (MCP) server designed for large language models, enabling real-time communication between AI models and applications with support for session management and intelligent tool registration.
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    MIT License
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    A Model Context Protocol (MCP) server that enables Large Language Models to interact with and query the classic Northwind database through a REST API.
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    Provides tools for obtaining system CPU and memory statistics through FastAPI endpoints exposed via MCP.
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    Apache 2.0
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    A FastAPI-based Model Context Protocol server that exposes herd data through a discoverable API, with local and containerized deployment options.
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    A FastAPI and fastmcp based Amap Navigation MCP tool that provides interactive map navigation with real-time route planning and WebSocket communication.
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    MIT License
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    An advanced management platform that integrates FastAPI and React TypeScript, providing a modern user interface with SQLite database and action history tracking.
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    A simple application demonstrating Model Context Protocol (MCP) integration with FastAPI and Streamlit, allowing users to interact with LLMs through a clean interface.
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    A server that allows AI agents to query and retrieve information about upcoming events at Berghain nightclub through a DynamoDB-backed FastAPI service.
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    Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.
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    A FastAPI-based microservice that analyzes job URLs and extracts detailed company information by crawling job postings and company websites, with data enrichment from external providers.
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    MIT License
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    An AI-powered meeting assistant that combines FastAPI backend with React frontend to generate high-quality meeting summaries and provide Q&A functionality using OpenAI and Selenium.
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    A local LLM chat application implementing the Model Control Protocol (MCP) architecture with Ollama, FastAPI, and Gradio that demonstrates clear separation of model, control, and presentation layers.
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    A FastAPI-based MCP server that integrates with smartscreen.tv, allowing you to programmatically control web displays by displaying media, sending notifications, and controlling playback via HTTP commands.
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    MIT License
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    A lightweight FastAPI server that allows remote execution of shell commands on Windows, with real-time output streaming and security features like API key authentication and rate limiting.
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    MIT License
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    A FastAPI server that implements the Model Context Protocol (MCP) using Server-Sent Events (SSE) transport to provide random cat facts on demand or as a continuous stream.
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    A demonstration server that automatically generates Model Context Protocol (MCP) servers from OpenAPI specifications, providing seamless integration with FastAPI and supporting various transmission methods like STDIO, HTTP, and SSE.
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    A FastAPI-based application that implements the Model Context Protocol for lead prospecting, allowing users to retrieve business leads from different data sources like Mantiks through a clean architecture.
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    A modular, extensible FastAPI-based platform that aggregates multiple AI tools and microservices into a unified interface with standardized I/O formats, perfect for frontend integration or LLM system orchestration.
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    MIT License
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    A FastAPI-based implementation of the Model Context Protocol that enables standardized interaction between AI models and development environments, making it easier for developers to integrate and manage AI tasks.
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    5
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    MIT License
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    A FastAPI-based application that enables document embedding and semantic retrieval using Qdrant vector database, allowing users to convert documents into embeddings and retrieve relevant content through natural language queries.
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    A modern Model Control Plane (MCP) project that provides a lightweight, extensible foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities through Python, FastAPI, and Docker.
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    A FastAPI-based JSON-RPC 2.0 server implementation that enables users to work with HDF5 files, submit Slurm jobs, retrieve CPU information, and visualize CSV data through standardized API endpoints.
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