Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.

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.

The HOPX MCP server is a service based on the model context protocol that allows AI assistants to execute Python, JavaScript, Bash, and Go code in isolated cloud containers, supporting data analysis and file operations.

This is a server that implements the MCP code execution mode. Through a single-tool bridge and zero-context discovery mechanism, it reduces the overhead of MCP tool calls from tens of thousands of tokens to about 200 tokens and securely executes Python code in the root container, supporting data science and secure isolation.

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 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.

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

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

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

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

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

Python package for Maestro MCP

A Python hypergraph library supporting traceability and SQLite persistence, used to represent complex relationships between multiple nodes, suitable for fields such as knowledge graphs, AI agent memories, and biomedical data.

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

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

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

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.

CICADA is an MCP server that provides structured code indexing for AI code assistants. Through AST-level indexing, call site tracking, and semantic search, it provides efficient context compression for Elixir, Python, and Erlang code repositories, reducing token usage and improving the quality of code understanding.

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

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

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

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

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

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

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

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

A multilingual project with implementations in Python and TypeScript

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.

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.

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.

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