# Python

MCP server implemented in Python

Python sample project for MCP service

A simple MCP server built with Python, providing two example tools: converting company names to stock codes and obtaining financial data from Yahoo Finance, mainly used for learning the construction and operation of MCP servers.

A to-do item server based on FastMCP for the Swarmonomicon project. It receives requests through FastMCP and stores tasks in MongoDB for processing by Swarmonomicon workers.

Preview version of the MCP Server for Keyfactor Command, built on the Python SDK, supporting certificate management operations such as querying, issuing, and revoking. Currently experimental software not recommended for production use.

This is an MCP server project based on the OpenAPI specification, used to handle API requests related to NDHM Health ID, supporting multiple transmission modes and configuration methods.

Brest MCP Server is a server implementation based on the Model Context Protocol (MCP), designed specifically for the Brest region, providing MCP interaction management and debugging tools.

AppDog is a project that can easily generate MCP servers from OpenAPI specifications, aiming to simplify the development process and help developers quickly build applications.

A simple Python project demonstrating calculator operations through two client-server communication modes (SSE and STDIO), suitable for learning basic client-server architecture and dual-mode communication.

The project is a Python-based MCP service, including server-side and client-side test code, managed using a virtual environment and the uv tool.

Python project environment initialization and MCP service startup

Minimal Python MCP server implementation based on MCP Python SDK

A template for quickly bootstrapping a Python-based MCP server. Use the Cookiecutter tool to quickly generate the project structure.

FastAPI Example Project

Enterprise WeChat Robot Notification Service

A complete tutorial on building the AutoNavi Map MCP Service from scratch, covering the entire process from environment configuration, code development, testing and debugging to online deployment.

A Homebrew package management MCP server designed for macOS, implemented in Python, supporting seamless integration with MCP-compatible clients such as Claude Desktop.

Guide to setting up and running the YR MCP server environment, supporting installation of dependencies and starting the service using both uv and pip methods

MCP Service Testing Project

A dynamic MCP server management service for creating, running, and managing Model Context Protocol (MCP) servers. This project is implemented in Python and can generate six different types of mind maps, suitable for various scenarios such as learning, review, and presentation.

Brest MCP Server is a server implementation based on the Model Context Protocol (MCP), designed specifically for the Brest region, providing MCP interaction management and debugging tools.

A basic MCP server project that provides installation and operation guides, including cloning the repository, installing dependencies, configuring environment variables, and starting the service.

A multilingual project with implementations in Python and TypeScript

The MCP server project for PuchAI internship applications, supporting rapid deployment and local development

A time zone conversion and time operation server built based on the MCP protocol standard, providing multi - time zone current time query and time zone conversion functions.

A template repository for Python MCP servers

MCP-Mem0 is a Python-based server project focused on providing long-term memory management functions for intelligent agents. It offers efficient memory storage and retrieval capabilities and serves as a template to facilitate developers in building their own MCP servers. The project is lightweight and easy to deploy, suitable for scenarios requiring agent memory management.

Python-based MCP server budget tracker

A collection of MCP servers written in Python

This project builds a data statistical analysis Agent based on Python. Through the MCP server and client architecture, combined with the LangGraph Agent, it realizes data statistics, visualization, and modeling functions.