Postgres MCP Pro is an open source Model Context Protocol (MCP) server built to support you and your AI agents throughout the entire development process—from initial coding, through testing and deployment, and to production tuning and maintenance.

A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface.

The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech and video/image generation APIs. This server allows MCP clients like Claude Desktop, Cursor, Windsurf, OpenAI Agents and others to generate speech, clone voices, generate video, generate image and more.

A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.

Office-Word-MCP-Server implements the Model Context Protocol to expose Word document operations as tools and resources. It serves as a bridge between AI assistants and Microsoft Word documents, allowing for document creation, content addition, formatting, and analysis. The server features a modular architecture that separates concerns into core functionality, tools, and utilities, making it highly maintainable and extensible for future enhancements.

This project is an enhanced MCP server for interactive feedback and AI-assisted command execution, supporting both Web UI and desktop applications. Minidoracat/mcp-feedback-enhanced offers a dual-interface MCP server for AI-assisted development. It supports both Web UI and cross-platform desktop apps, intelligently detects local, SSH, and WSL environments, and unifies functionality across interfaces. Key features include prompt management, auto command execution, session tracking, real-time feedback, multi-language support, and robust image handling, all designed to streamline development workflows and improve efficiency.

This project provides a Magic MCP server for seamless frontend development with AI-powered component generation. Magic MCP is a tool that integrates with editors like VS Code, Cursor, Windsurf, and Cline to help developers generate, edit, and manage React components using AI. It supports easy setup, customizable output, and works directly with your existing codebase. The project is open source, currently in beta, and encourages community contributions and feedback. All features are free during the beta period, and it aims to streamline frontend workflows by providing instant access to a library of reusable components.

A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

This project provides the Context7 MCP Server for seamless integration with LLMs and AI code editors. Context7 MCP Server enables up-to-date code documentation and context management for various AI-powered development tools. It supports easy installation and configuration across popular editors and platforms, including VS Code, Cursor, Zed, JetBrains, and more. By using the @upstash/context7-mcp package, developers can connect their clients to Context7’s remote or local server, ensuring efficient access to code documentation and context-aware features for enhanced productivity in AI-assisted coding environments.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.