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.

This MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities.

A Model Context Protocol server that provides access to your iTerm session.

这是一个 基于模型上下文协议（MCP）的服务器，用于与墨问笔记软件进行交互。通过此服务器，你可以在支持MCP的应用（如Cursor、Claude Desktop等）中直接创建、编辑和管理墨问笔记。

A Model Context Protocol (MCP) server for seamless integration with Sentry.io, enabling real-time error tracking and debugging in your AI-powered development workflow.

A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities.