# FastAPI

A GitHub Model Context Protocol server based on FastAPI, providing functions such as getting repository details and issue management.

This is an MCP server based on FastAPI, providing baseball data query functions from MLB and Fangraphs through the pybaseball library, including player data, team statistics, and league leaderboards.

A lightweight MCP server based on FastAPI and pyodbc that supports connecting to multiple databases (such as Virtuoso) through ODBC and provides functions such as database schema query, table structure description, and SQL/SPARQL query execution.

This project aims to enhance the management experience of Pi-hole devices through FastAPI and the RAG system, providing interaction functions based on natural language processing.

Run the FastAPI server and directly develop and debug through the MCP tool

A Steam game statistics MCP server based on Python and FastAPI, acting as an intermediary between MCP clients and the Steam Web API, providing structured access to game statistics and user information.

A simple MCP server example based on FastAPI, providing basic health check and context services for processing parameterized prompt templates.

A Tavily API server based on FastAPI that provides search and content extraction functions, supporting API key authentication and SSE MCP services.

This project is a GitHub MCP server based on FastAPI, providing API interfaces for interacting with GitHub, including functions such as getting user information, managing repositories, creating issues, etc., and supporting AI-assisted issue summary generation.

An MCP server project based on FastAPI, including Qdrant vector database integration and OpenWebUI client support

An implementation of the MCP architecture server based on FastAPI, using the Model-Controller-Provider design pattern, providing high-performance REST API services, including functions such as automatic documentation generation and data validation.

A Python-based chat workflow engine that integrates FastAPI, CLI, and Google ADK for unified AI Q&A processes and extended functionality

A FastAPI - based application for obtaining portfolio details through the IBKR API

Parallels RAS MCP Server is a FastAPI-based backend service that provides a REST API to manage sessions and application publishing of Parallels Remote Application Server.

A modern to-do list application based on FastAPI and the MCP protocol, supporting complete CRUD operations, task statistics, and integrating with the Gemini CLI through the FastMCP server to achieve natural language task management.

A TAPD server developed based on the MCP Python SDK, which integrates the requirement management function and supports multi - condition query and pagination display.

This is a FastAPI service template based on Python, designed with Clean Architecture and SOLID principles, providing features such as API documentation, asynchronous tasks, WebSocket, database repository pattern, identity authentication, etc., and supporting multi - stage Docker builds to optimize image size.

A client-server system based on MCP. The client sends queries, and the server processes them through the Ollama LLM, generates system commands, executes them, and then returns the results.

A lightweight Model Context Protocol (MCP) system based on FastAPI, including a server and a client, communicating through SSE and supporting tool invocation.

A lightweight MCP server based on FastAPI, pyodbc, and SQLAlchemy, supporting connection to multiple databases (such as Virtuoso, PostgreSQL, etc.) via ODBC, providing functions for querying database schemas, table structures, and executing SQL/SPARQL.

A Hello World application based on FastAPI, including basic API interfaces and OpenAI integration functions, supporting local and Docker deployment.

A simple MCP server based on FastAPI, providing numerical doubling processing functions and supporting session management and API key authentication.

A modern Python project template with FastAPI REST API, Docker support, code quality tools (ruff/mypy/pytest), and CI/CD integration, demonstrating best practices for production-grade Python applications.

A user management system designed based on FastAPI and Clean Architecture, using CSV files to store data, implementing user CRUD, batch import, and age statistics functions.

A Python backend application that provides MCP protocol interfaces and a FastAPI web interface for managing MCP servers integrated with Claude Desktop.

This project is a Nutanix MCP server prototype based on FastAPI, used to obtain cluster and virtual machine information from Nutanix Prism Central and supports integration with the Dify platform for natural language query functionality.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

An experimental and educational Ping-Pong server that demonstrates remote MCP calls through FastAPI, supporting both API and SSE communication methods.

An MCP client and server project implemented based on FastAPI, including a local running guide and to - do feature development.

An MCP server based on FastMCP and FastAPI for generating chart images through Python code.