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.

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

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

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

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

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.

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

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

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

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.

Python package for Maestro MCP

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.

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.

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

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

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.

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.

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

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.

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

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

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

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.

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.

A client project based on Python 3.13 that integrates MCP services and the GPT-4 model, providing interactive tool invocation and network search functionality.

A zero-burden, out-of-the-box MySQL Model Context Protocol (MCP) server that supports CRUD operations and read-only mode, without the need for a Node.js or Python environment.

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.

The MATLAB MCP Server project integrates with MATLAB via the MCP protocol, supports the creation and execution of MATLAB scripts and functions, and provides Python environment configuration, Claude desktop integration, and script management functions.