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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.

Apple MCP is a toolkit that automates Apple apps using AI for enhanced productivity.

A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

Figma-Context-MCP is a server that provides Figma layout data to AI coding agents like Cursor.

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.

基于火山引擎即梦AI的图片生成MCP（Model Context Protocol）服务。

A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis.

Baidu Map MCP Server is a fully MCP-compliant, open-source Location-Based Service (LBS) solution, providing a comprehensive suite of geospatial APIs and tools for developers and AI agents. As the first map service provider in China to support the Model Context Protocol (MCP), Baidu Map MCP Server bridges the gap between large language models (LLMs), AI agents, and real-world location data and services. With Baidu Map MCP Server, you can easily empower your applications, LLMs, and agents with advanced mapping, geocoding, POI search, route planning, weather, traffic, and more — all via standardized, developer-friendly MCP interfaces.

小红书内容访问的MCP服务

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.