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.

Browser MCP is an MCP server + Chrome extension that enables browser automation through AI applications (such as VS Code, Claude, etc.). It features fast response, privacy protection, staying logged in, and avoiding detection.

The MCP-Framework is a TypeScript-based framework for elegantly building Model Context Protocol (MCP) servers. It provides an out-of-the-box architecture, supports automatic directory discovery of tools, resources, and prompts, and has multiple transmission methods and type-safe features.

Solon is an efficient, open, and eco - friendly Java enterprise application development framework that supports all - scenario development. It features high performance, low memory consumption, fast startup, and small - volume packaging. It is compatible with Java 8 to Java 24 and the GraalVM native runtime.

API 200 is an open - source API integration platform that provides functions for quick access and management of third - party APIs, including features such as automatic code generation, documentation, authentication, caching, and error handling. It supports self - hosted deployment and MCP services.

The dbt MCP Server is a service that provides tools for interacting with dbt. It supports features such as dbt CLI, Semantic Layer, and Discovery API, and can be integrated with multiple clients through configuration.

The MCP Text Editor Server is a text file editing service based on the Model Context Protocol, providing line-oriented text file operation capabilities and supporting efficient partial file access to reduce token consumption for LLM tools. It has features such as concurrent editing detection, multi-file atomic operations, and support for multiple encodings.

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.

MCP Appium is an intelligent mobile automation server based on the model context protocol, providing cross - platform mobile app testing tools for AI assistants, supporting iOS and Android platforms, and featuring intelligent element location, session management, and automated test generation functions.

An MCP server that provides framework documentation retrieval for Claude Code, supporting real - time document access, intelligent caching, and context enhancement features for over 85 frameworks.

An MCP server for fetching web page content and YouTube video subtitles

Smart Tree is an ultra-fast directory visualization tool developed based on Rust. It is 10 - 24 times faster than the traditional tree command. It has features such as AI - optimized output, quantum compression, and intelligent search, and also focuses on environmental protection and energy conservation.

This is a git repository template for creating new projects

The Rust MCP SDK is a high - performance, asynchronous toolkit for building MCP (Model Context Protocol) servers and clients. It simplifies the development process, allowing developers to focus on application logic while providing powerful features and consistency guarantees.

An MCP server that provides access to Rust documentation, supporting search for documentation, type information, feature flags, version numbers, and symbol definitions/source code queries.

The Strava MCP server is a middleware service that connects the Strava sports data API with language models, providing the ability to analyze, visualize sports data, and interact with social features.

The MCP Email Server is a protocol server that provides email functionality for LLMs, supporting the sending of emails with attachments and file search features, including SMTP secure transmission and support for multiple types of attachments.

The MediaCrawler MCP service upgrades the social media crawler into a standardized tool that can be directly called by AI assistants. It supports multi - platform data acquisition and has features such as externalized login, browser reuse, and structured output.

The Feishu MCP Server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing, thereby improving development efficiency.

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

An MCP server based on FastAPI that automatically fetches, summarizes, and pushes Reddit content to Slack. The system uses Azure OpenAI to generate summaries of posts from selected sub - reddits, organizes them into PDF reports, and shares them with the team.

An MCP server integrated with Fewsats, supporting AI agents to securely purchase goods and services

A server project that provides access to Federal Reserve Economic Data (FRED) through the MCP protocol

An MCP service connecting to Feishu Docs, supporting access to document spaces and lists, and seamless integration with AI clients.

An intelligent project management system that integrates n8n workflow automation, Claude Code AI programming assistant, and MCP servers, with features such as persistent memory, automatic backup, and code generation

Laravel Vibes is a powerful Laravel package for implementing the Machine Control Protocol (MCP) server, supporting seamless integration of AI agents. It provides features such as a tool registration system, real-time communication (SSE), and API endpoints, and supports automatic discovery and type safety.

The Feishu MCP server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing functions.

FEGIS is a structured cognitive framework based on the Anthropic model context protocol, supporting the definition of cognitive tools through patterns and the persistent storage of cognitive products.

The Searchcraft MCP Server is a toolset based on the Searchcraft vertical search engine, used to manage documents, indexes, federations, access keys, and analytical data, and supports performing management operations through natural language instructions.

An experimental Model Context Protocol server based on Node.js that provides access to the Autodesk Platform Services API and implements fine-grained access control through the Secure Service Accounts feature.

Snowfort Circuit MCP is a comprehensive Model Context Protocol server suite that provides web and Electron desktop application automation capabilities for AI coding agents, with features such as AI - optimized snapshots, intelligent screenshot compression, and multi - session management.

This project uses Docker to build an MCP server that integrates Redis and TimescaleDB, providing features such as fast deployment, automatic restart, and useful scripts.

The FetchSERP MCP server is an API service that provides functions such as SEO analysis, SERP query, web page crawling, and keyword research, supporting multiple deployment methods.

A Solana token issuance server integrated with AI functions, providing innovative features such as token concept generation, image creation, and DNA sequence generation, and supporting token creation and deployment on the Solana blockchain.

MCP Fetch is a web content scraping and image processing service tool designed for Claude Desktop, supporting automated extraction of web content, titles, and optimized image processing.

This project is a CSS teaching MCP server built on Node.js and TypeScript, providing personalized CSS feature update services, including resource management, tool invocation, and prompt guidance functions.

The Feishu MCP Plugin is a service that connects Feishu with AI coding tools (such as Cursor), providing functions such as document reading, message sending, and contract approval, and supporting operation through self - built application authorization.

This project is a proof-of-concept (POC) that demonstrates how to implement the Model Context Protocol (MCP) through a custom host for testing agentic systems. Core features include OpenAI-compatible API, Google Gemini integration, streaming response support, and tool invocation capabilities.

Nash MCP is a multi - functional command execution server that supports Shell command execution, Python code execution, web content fetching, and task management, providing secure credential storage and session management functions.

MCP Composer is a gateway service for centrally managing multiple MCP servers, providing features such as dynamic server management, unified SSE interface, multi - endpoint support, and independent configuration.