mcp-installer is a service tool for installing other MCP servers. It supports installing Node and Python servers through npm or PyPi, simplifying the deployment process of MCP servers.

The Stripe Agent Toolkit is a toolkit that supports the integration of multiple AI agent frameworks (such as OpenAI, LangChain, CrewAI, etc.) with the Stripe API. It provides support for Python and TypeScript, simplifying payment-related operations.

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

Baidu Maps MCP Server is the first domestic map service compatible with the MCP protocol, offering 10 standardized API interfaces such as geocoding and route planning, supporting quick access via Python and Typescript, and enabling agents to implement map - related functions.

A Proxmox management server based on Python, providing an interface to interact with the Proxmox virtualization platform, supporting node, virtual machine, and container management, with security authentication and a variety of functional tools.

Chroma is an open-source vector database that provides memory support for Python and JavaScript LLM applications, supporting multiple client types and document operations.

A Python-based Proxmox management MCP server that provides a simple interface to manage nodes, virtual machines, and containers

A Python MCP server that connects to the Shopify API, supporting operations such as retrieving, creating, updating, and deleting product information.

A simple Ebay server that uses the official MCP Python SDK to handle protocol communication and provides tools for querying Ebay auctions.

This project is a Python server based on the MCP protocol, providing functions for querying and calculating soil and water conservation technical specifications, including engineering calculations such as Manning's coefficient, earth pressure coefficient, drainage ditch flow velocity, and slope stability, as well as the conversion between latitude and longitude and UTM/TWD97 coordinates in Taiwan region. It is suitable for AI application integration.

A high-performance ShotGrid Model Context Protocol (MCP) server implementation based on fastmcp, providing a complete set of CRUD operation tools, thumbnail management, connection pool management, etc., and supporting operation in the Python 3.10 environment.

A Python - based NBA data service that provides real - time game data and historical statistical information

LLMling is a Python library that provides a configurable LLM task processing framework, supporting multiple context processors and LLM provider integrations.

Python package for Maestro MCP

An unofficial Python API wrapper for accessing cycling race data on firstcycling.com, supporting queries for race, rider, and ranking information.

An MCP server for analyzing the structure, complexity, and dependencies of Python code.

mcp-chat is an open-source and general-purpose MCP client tool for testing and evaluating MCP servers and proxies. It supports command-line interaction and web mode, can connect to various MCP servers (JS/Python/Docker), and provides functions such as chat history recording, model selection, and system prompt customization to help developers debug MCP services.

A minimal Anthropic MCP protocol client and server implementation based on Python and Pip for debugging reference in VSCode and Windows environments.

Use the uv tool to create and run a Python project named mcp - server - demo, build a FastMCP server supporting addition functions through the MCP SDK, and configure the client connection.

The AWS EC2 Pricing MCP Server provides real-time EC2 price query services and supports direct use through Docker or Python.

The TranslationX MCP Server is a Python - based model context protocol server that supports the translation services of TranslationX and can be integrated and used through Cursor.

A Python package that enables LLM models to interact with the Memos server via the MCP interface.

mcp-flowise is a Python package that implements a Model Context Protocol (MCP) server integrated with the Flowise API. It supports both dynamic tool registration and static configuration modes and is suitable for the integration of Flowise chat flows or assistants.

A tool for interacting with the macOS Messages application through Python bridging, supporting reading and sending iMessage messages

A Python toolset that enhances the functions of the Claude desktop application through the MCP framework

A RAG system based on Python code analysis. It parses the code structure through AST and stores it in the Weaviate vector database, providing code query, natural language Q&A, and visualization functions, and supporting multi-codebase management and dependency analysis.

A lightweight MCP server based on Python that interacts with local ComfyUI via WebSocket to enable programmatic image generation by AI agents.

A tool that exposes a secure local Python executor through the MCP protocol, providing code interpreter functionality for LLM applications

An MCP server that provides remote pexpect session control, supporting programmatic interactive debugging with command-line debugging tools such as LLDB and GDB through Python code

rag - mcp is an over - designed retrieval - augmented generation system that provides multiple text search modes (semantic search, question - answer search, style search) through a Python server. It uses PostgreSQL and pgvector to store text embedding vectors, supports interaction with AI agents, and has a complex but scalable architecture.

click-mcp is a Python library that extends Click applications through Model Context Protocol (MCP) support, enabling AI agents to interact with CLI tools.

A Python template project for quickly building a Model Context Protocol (MCP) server, which provides registration and exposure functions for tools and tips and supports multiple deployment methods.

This is a project that converts the Python version of the MySQL MCP server to a Java implementation, providing a secure MySQL database interaction interface that allows AI assistants to access database resources in a controlled manner.

mcp - openapi - proxy is a Python package that implements a Model Context Protocol (MCP) server to dynamically expose REST APIs conforming to the OpenAPI specification as MCP tools, facilitating integration into MCP workflows.

MCP Email Verify is a lightweight server based on the Model Context Protocol (MCP) for real-time verification of email address validity. It checks email format, domain name validity, and deliverability through AbstractAPI and is suitable for integration into AI applications such as Claude Desktop. The project offers simple deployment and MCP compatibility, supporting Python environments.

mcp-x is a Python library that provides specific functional support.

This project is a Reddit service interface based on the Model Context Protocol (MCP), implemented through the Python Reddit API Wrapper (PRAW), which allows AI assistants to access and interact with Reddit content. The project provides functions such as user information analysis, getting popular posts, community statistics, and viewing trending sub - forums, and supports authenticated users to post and comment.

This project is a Python-based MCP server template designed to simplify the AI-assisted development process and provide a standardized implementation of the tool interaction protocol. It includes a weather service example, embedded protocol documentation, and Cursor Rules integration, supports multiple transmission modes, and helps developers quickly build tools that comply with MCP specifications.

Prompt Decorators is a framework for standardizing large - language - model prompt enhancement and transformation. It provides specification definitions and Python implementations, includes over 140 pre - set decorators, and supports MCP protocol integration.

A Python - based MCP server installation tool for cross - platform installation and configuration of various MCP services, supporting multiple clients and local/remote installation methods.