Python backend - 梅斯AI导航站

Unreal Engine MCP Python Bridge Plugin

An Unreal Engine plugin that implements an MCP server allowing MCP clients to access the UE Editor Python API.

MCP Server Markup Language (MCPML)

MCP Server Markup Language (MCPML) - A Python framework for building MCP Servers with CLI and OpenAI Agent support.

crawl4ai-mcp

MCP (Model Context Protocol) server wrapping Crawl4AI library as functions using Python

Cua Agent

cua-mcp-server is a MCP server for the Computer-Use Agent (CUA), allowing you to run CUA through Claude Desktop or other MCP clients. Get started with Agent Prerequisites Before installing

MCP Hub Documentation

MCP Hub is a comprehensive framework for building, managing, and deploying Model Context Protocol (MCP) clients and servers. It provides tools and configurations to enable seamless integration and exe

mcp-server

Pandoc MCP Server

A Python-based MCP (Model Context Protocol) server powered by FastMCP that leverages Pandoc for flexible document conversion between various formats (Markdown, DOCX, PDF, HTML, etc.), designed for use

MCP SSE Client Python

Simple MCP Client for remote MCP Servers 🌐

Documentation MCP Server with Python SDK

MCP Python SDK Documentation

Read the docs Documentation for the MIT decentralized AI, MCP hackathon

MCP-BOS: 可扩展的MCP服务器框架

MCP-BOS: 模块化、可扩展的Model Context Protocol服务器框架使用基于约定的自动模块发现机制，为Claude Desktop打造的灵活MCP服务器框架。通过简洁的模块接口和声明式配置，轻松扩展AI应用功能，无需修改核心代码。支持FastMCP标准，包含完整工具、资源和提示模板注册能力。

mcp-utils

Python utilities to work with MCP servers

Obsidian MCP Server

A MCP Server backend for Obsidian

lg-mcp-servers

MCP Servers

mcp-s4w3d0ff

Collection of MCP servers written in python

pymcp-sse: Python MCP over SSE Library

Asynchronous Python library for building Model Context Protocol (MCP) servers and clients over HTTP/SSE, ideal for AI agents, tool integrations, and chatbot ecosystems.

MCP Auto Register

Automate the registration of functions and classes from a python package into a FastMCP instance.

Sequential Thinking MCP Server (Python Implementation)

A Python implementation of the Sequential Thinking MCP server using the official Model Context Protocol (MCP) Python SDK. This server facilitates a detailed, step-by-step thinking process for problem-

pymcp