mcp-golang is an unofficial Go implementation of the Model Context Protocol library, supporting the rapid construction of MCP servers and clients, and providing features such as type safety, low code volume, modularity, and two-way communication.

Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

LLM Context is a tool that helps developers quickly inject code/text project content into the chat interface of large language models, supporting intelligent file selection and multiple integration methods.

A service based on the Model Context Protocol (MCP) that supports the specification-driven development process, guiding developers through a systematic development process from requirement generation, design documents to code implementation via structured prompts.

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

The Semgrep MCP Server is a server based on the Model Context Protocol (MCP) for scanning code for security vulnerabilities through Semgrep, supporting multiple integration methods and tools.

Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

MCP2Lambda is an MCP server that allows AWS Lambda functions to be used as tools for large language models (LLMs) without modifying the code. It builds a bridge between AI models and Lambda functions through the Model Context Protocol (MCP), enabling models to access private resources and perform custom operations.

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.

FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

This project implements functions similar to Claude Code through the MCP protocol, providing tools for code understanding, modification, and command execution. It supports multiple models and Jupyter notebook operations, and has security control and development expansion capabilities.

An AI mentor server based on the Model Context Protocol, providing second - opinion services such as code review, design evaluation, writing feedback, and creative brainstorming through Deepseek - Reasoning

The MAGI MCP Server is a server implementation of a code review system based on the Model Context Protocol (MCP), providing standardized interfaces for code submission and review processes, and supporting multi - agent reviews and majority decision - making mechanisms.

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 provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.

Sketch Context MCP is a model context protocol server used to integrate Sketch design files with IDEs such as Cursor, enabling an AI - driven workflow from design to code, and supporting real - time two - way communication and design element operations.

Claude local semantic code search tool that uses the EmbeddingGemma model to achieve fully offline intelligent multi - language code search. Integrates with Claude Code through the MCP protocol, protects privacy, and does not require an API key.

A Codecov Model Context Protocol server based on TypeScript that provides code coverage analysis tools and test suggestion functions.

JupyterMCP is a tool that integrates Jupyter Notebook with Claude AI via the Model Context Protocol (MCP). It supports functions such as bidirectional communication, cell operations, and code execution, and is only compatible with Jupyter Notebook version 6.x.

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).

The MCP service for Ant Design components provides support for component documentation query and code generation for large language models

An interactive web tutorial for learning how to build an MCP (Model Context Protocol) server, providing step-by-step guidance and real-time code examples.

Pushover MCP is a tool that implements the Model Context Protocol specification, allowing AI agents to send notifications via Pushover.net. It provides a simple configuration method and multiple integration methods, and supports use on platforms such as Cursor and Roo Code.

This is a development template for the Model Context Protocol (MCP) based on TypeScript, providing a complete foundation for building MCP clients and servers, including production-grade tools, sample code, and clear documentation, supporting rapid development and expansion.

GarenCode Design is an AI-driven intelligent component design platform that automates the entire process from requirements analysis to code generation through the MCP framework. It supports multiple AI models and private component libraries, significantly improving front-end development efficiency.

Sandbox MCP is a model context protocol server that allows LLMs to run code in secure Docker containers, solving the security problem of the inability to test code generated by AI.

An Ethereum RPC service based on the Model Context Protocol (MCP), providing standardized tools for querying blockchain data, including functions such as getting contract codes, querying Gas prices, and account balances.

J.A.R.V.I.S. is an intelligent code assistant based on multi - model support, providing functions such as code generation, modification, and technical discussions, and supporting multiple file formats and real - time collaboration.

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.

Kontxt MCP Server is a codebase context analysis service based on the Gemini model, providing codebase understanding tools for AI clients and supporting multiple transport protocols and context attachment functions.

Yellhorn MCP is a model context protocol server that provides full codebase context support for code assistants by integrating the capabilities of Gemini and OpenAI, enabling development task planning, code review, and isolated environment creation.

NetContextServer is a tool that enhances AI programming assistants' understanding of .NET codebases. It provides functions such as in-depth code analysis, semantic search, and test coverage analysis through the Model Context Protocol (MCP).

A service implementing the Model Context Protocol (MCP), providing tools for retrieving and analyzing the entire codebase, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand the entire codebase.

Codebase MCP is a service that implements the Model Context Protocol (MCP), providing tools for retrieving and analyzing entire codebases through RepoMix, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand large codebases.

GoDevMCP is a project that provides convenient tools for Go language development, integrating the Model Context Protocol (MCP), including functions such as code search, document viewing, and project navigation.

The YepCode MCP Server is a server implementing the Model Context Protocol. It can transform YepCode processes into AI tools, supports remote and local deployment, and provides functions such as code execution, environment management, and process execution.

Code Graph RAG MCP is an advanced model context protocol server that provides 13 professional tools for code understanding, relationship mapping, and semantic search through intelligent graph representation and multi - language code analysis capabilities.

An MCP server that provides file system context for large language models, supporting file operations, code analysis, and intelligent search.