# FastAPI

The XRPL MCP Service is a model context protocol server based on FastAPI, providing comprehensive XRPL ledger interaction functions, including account query, transaction operations, decentralized exchange, and NFT management services.

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

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

A Python wrapper based on FastAPI for connecting to the Bitbucket MCP server written in TypeScript, providing a REST interface to manage pull requests.

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

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

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.

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

A project implementing the MCP protocol and integrating DigitalOcean server management

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

A simple MCP server implementation based on FastAPI, providing health checks and context services for processing parameterized prompt templates.

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.

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.

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

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.

The project provides operating modes for the MCP server and the FastAPI server, supporting the debugging mode.

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

A lightweight server based on FastAPI that implements the Model Context Protocol (MCP) for EKS clusters, providing a standardized EKS operation interface for GenAI agents and supporting multiple authentication methods and Kubernetes resource management.

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

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.

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.

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.

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 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.

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