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.

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.

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.

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.

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.

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 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 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.

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.

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

The Supabase MCP Server is a feature - rich MCP server that allows clients such as Cursor and Windsurf to securely interact with Supabase databases. It provides functions such as database management, SQL query execution, and access to the Supabase management API, with built - in security control mechanisms.

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.

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.

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.

This project provides code analysis and editing capabilities through the LSP protocol, supports MCP tool calls for TypeScript/JavaScript, includes functions such as file operations, symbol lookup, and error checking, and has security features such as path restrictions.

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.

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.

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.

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.

DeltaTask is a localized advanced task management system with intelligent priority sorting, task decomposition, and Obsidian integration features.

A secure MCP server implementation for performing controlled command-line operations with comprehensive security features.

The GrowthBook MCP Server is a tool that allows users to interact with GrowthBook through an LLM client, supporting operations such as viewing experiment details and adding feature toggles.

Claude Command Runner is an MCP server that connects the Claude desktop application with terminal tools. It supports intelligent command execution, automatic output capture, and comprehensive v3.0 features, improving development efficiency.

An MCP server implementation designed for the Claude desktop application, providing persistent memory functions for large language models, including a tiered memory architecture, multiple memory types, and semantic search features.

The Maya MCP Server project implements the Model Context Protocol (MCP), allowing AI assistants to control Autodesk Maya through natural language. This project features a lightweight design, does not require installing plugins in Maya, communicates via Maya's default MEL script port, and supports dynamically adding new tool functions.

Hello-MCP is a practical tool that helps Claude Desktop interact with external tools through the MCP protocol, providing a simple configuration wizard and integration features.

A secure MCP server implementation for executing controlled command-line operations with comprehensive security features.

The Telegram MCP Server is a server that interacts with the Telegram API through the Model Context Protocol (MCP), allowing AI agents and other MCP clients to operate Telegram features.

An MCP server that provides a structured development process for LLM programming. It realizes an orderly and secure code development through functions such as feature clarification, document generation, phased development, and progress tracking.

Provide an MCP server for executable file analysis based on Detect It Easy, allowing AI agents to analyze file formats and features through the DIE tool.

This project demonstrates how to use Google's Gemini 2.5 Pro model to interact with the flight search tool under the MCP protocol through the function call feature, enabling natural language queries for flight information and returning formatted results.

An MCP server that provides standardized interfaces to access Consul features, including core functions such as service management, health checks, and KV storage.

An MCP language server based on TypeScript, providing enhanced code editing features

Fastly MCP is a tool that integrates Fastly API features into an AI assistant through the Model Context Protocol (MCP), allowing users to manage CDN services, caching, security configurations, etc. via AI while protecting the security of API keys.