wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

Godot MCP is a plugin that connects the Godot engine with AI assistants. It enables two-way interaction through the Model Context Protocol and provides functions such as code assistance, scene operation, and project management.

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

This project demonstrates how to integrate the MCP (Model Context Protocol) server with Pydantic.AI, includes example code for weather services, and supports interaction through different LLMs (such as GPT - 4 and Sonnet).

UIThub MCP Server is a GitHub repository content interaction service designed for Claude, which can intelligently retrieve and analyze code library content through the API.

CodeBox-AI is a secure Python code execution service that provides self-hosted code interpreter functionality, supports conversational code execution, dynamic package installation, and visual output, and integrates the MCP protocol for interaction with LLM applications.

ReClass.NET MCP integration project, which enables the interaction between Claude Code and the ReClass.NET memory analysis tool through TCP connection, providing functions such as memory read and write, structure management, and process detection.

An MCP server for integrating Cursor IDE with Azure DevOps, providing interaction functions for projects, work items, code repositories, and pull requests, and supporting test plan management and intelligent response handling.

GhidraMCP is a Ghidra plugin that enables AI - assisted binary analysis through the Model Context Protocol (MCP), connecting reverse engineering with AI assistants and providing functions such as natural language interaction, in - depth code analysis, and security vulnerability detection.

A toolkit that enhances the interaction between Claude and code, providing seamless integration tools for code analysis, operations, and test workflows.

This project provides a deployable AWS general MCP server and CDK infrastructure code, supporting interaction with AWS services through a standardized MCP interface, including implementations of location services, S3, and Aurora PostgreSQL.

This project is a tool for running a Model Context Protocol (MCP) server. It encapsulates the functions of the CodeQL query server and supports interaction with CodeQL through structured commands and document search.

The Electron MCP Server is a server based on the Model Context Protocol (MCP), providing comprehensive automation, debugging, and observability capabilities for Electron applications. It implements AI-driven automation through the integration of the Chrome DevTools protocol, supporting real-time UI interactions, visual debugging, deep inspection, and development observability, and can work without modifying the target application's code.

This project implements a MATLAB Model Context Protocol (MCP) server, supporting interaction with a shared MATLAB session through a Python interface. It provides functions such as code execution and variable retrieval, and plans to expand support for more tools and data types.

A lightweight MCP server designed specifically for LLMs, used for quickly testing and exploring REST APIs. It allows direct interaction with API endpoints through natural language without writing test code.

AutoMobile is a mobile automation toolset that provides automation testing, UI interaction, test writing, and execution functions for the Android platform. It enables intelligent interaction loops and source code mapping through the MCP server.

GH_mcp_server is a tool that enables direct interaction with Rhino and Grasshopper through LLMs, supporting the analysis of 3dm files, 3D modeling, and the automatic generation of GHPython code.

An MCP service that provides a voice interaction mode for Claude Code, supporting hands-free continuous two-way voice conversations through the browser, including voice recognition and text-to-speech functions.

This project implements a GitHub code search tool through the Model Context Protocol, providing a standardized external service interaction interface for AI assistants, including functions such as code search and repository viewing.

An MCP server that provides stateful Django shell interaction for AI assistants, allowing direct execution of Python code in a Django project and maintaining session state

A project that runs a Model Context Protocol (MCP) server, encapsulates the CodeQL query server, and supports interaction with CodeQL through structured commands and document search.

NeoCoder is an AI programming assistance system based on the Neo4j knowledge graph. It enables the interaction between AI assistants and the knowledge graph through an MCP server, providing standardized coding workflows, dynamic instruction manuals, and project memory functions. The system supports multiple operation modes (incarnations), including basic programming, scientific research, decision - making analysis, complex system modeling, knowledge graph management, and code analysis. It stores workflow templates and execution records in Neo4j to ensure the traceability and standardization of the coding process.

Codex Bridge is a lightweight MCP server that connects AI programming assistants with OpenAI Codex through the official CLI, supporting multi - client interaction without API costs.

An nREPL server designed for MCP clients (such as Claude Desktop or CLine in VSCode), supporting interaction with Clojure nREPL instances via the MCP protocol to achieve functions such as code evaluation and namespace inspection.

A Node.js/TypeScript library for generating, decoding, and verifying PayBySquare payment QR codes. It supports complete payment fields, compliance checks, and provides MCP server integration for easy interaction with AI assistants such as Claude.

An MCP server for persisting development memory across projects, automatically capturing and organizing development context, code changes, and user interactions. Currently, it is hindered by file system access and JSON response handling issues.

The Sandbox Fusion MCP Server is an implementation that provides code interpreter functionality for large language models. It supports code execution in multiple programming languages and Jupyter notebook operations, and communicates with clients through stdio interaction.

An AI-assisted development environment based on VS Code development containers, integrating the MCP server to enable interaction with Claude for file system and shell operations.

A development memory server for persistent development memory management across projects, automatically capturing and organizing development context, code changes, and user interactions.

The Model Context Protocol (MCP) server of the Bybit exchange supports interaction with the Bybit trading platform through AI programming tools (such as Claude Code and Cursor), providing market data query, account management, and trading functions.

This project is a Go implementation of the Model Context Protocol (MCP), a JSON-RPC based protocol for client-server interaction in LLM applications. The project includes Go structure definitions, client implementation, and example code, supporting interaction with resources, tools, prompts, etc.

Provide a virtual machine environment based on Magalu Cloud, enabling code execution and virtual resource interaction through the Model Context Protocol (MCP). Support the secure integration of LLMs with sandboxed VMs to enhance agent capabilities.

Calva MCP Server is a VS Code extension that provides AI programming assistance and REPL interaction capabilities for Clojure/ClojureScript developers, enabling AI to execute and test code in real - time and improving programming efficiency.

This project is a personal and public knowledge base about the Model Context Protocol (MCP), aiming to explain and explore the working principles, interaction processes, and tool call mechanisms of MCP, including example code, concept analysis, and reference materials.

SQL Server Agent is a natural language database interaction tool based on Modal Context Protocol (MCP) that allows users to converse with SQL Server databases in natural language. You can query data, execute stored procedures and perform other operations without writing SQL code.

The Salesforce MCP Server is a platform that integrates Claude/VS Code with Salesforce, supporting interaction with Salesforce data and metadata through natural language, including functions such as querying, modifying, and managing object records.

This project contains the configuration of custom commands for Claude code, used to standardize the interaction with the AI agent and provide functions such as code analysis, documentation generation, and security review.

This project is a remote Model Context Protocol (MCP) server based on Node.js and TypeScript, deployed in Azure Container Apps, used to implement standardized communication between AI models and tools. It provides a quick start guide, supports local development, GitHub Codespaces, and Azure deployment, and includes SSE protocol implementation, SQLite database integration, and tool interaction features.

The MCP server implemented by the VS Code extension provides a standardized context interaction protocol for AI assistants and supports the seamless integration of the development environment and LLMs.

The Twitch MCP server is an AI toolset provided for Twitch streamers. It connects chat assistants (such as Gemini CLI, Qwen Coder, Claude Code, etc.) to Twitch chat through the Model Context Protocol (MCP) to implement chat management, content moderation, and audience interaction functions.