Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
App Store Connect MCP Server A local Model Context Protocol server for the App Store Connect API. Manage apps, builds, TestFlight, reviews, and more from Codex, Claude, and other MCP clients on macOS.
Most RAG frameworks fall into one of three traps: (1) they require you to ship your data to a cloud API, (2) they hand you 300 building blocks and 0 opinionated defaults, or (3) they bundle RAG as a...
Curated Claude workflow infrastructure. HeyClaude is a file-backed, human-reviewed directory for Claude agents, MCP servers, skills, hooks, commands, tools, prompts, rules, guides, templates, and...
A Model Context Protocol server that provides email functionality. This server enables LLMs to compose and send emails, as well as search for attachments within specified directories.
A Model Context Protocol (MCP) server for Mailgun that gives AI agents a practical, workflow-oriented interface to send email, diagnose deliverability, and manage account operations.
The best open-source MCP server for PowerPoint automation. Free, no subscriptions, no credits.
A Model Context Protocol (MCP) server that interfaces with the HackMD API, allowing LLM clients to access and interact with HackMD notes, teams, user profiles, and history data.
Huawei MCP Server is a Model Context Protocol server built on Huawei Cloud services, providing secure and controlled cloud access capabilities for large AI models.
A Model Context Protocol server that lets Claude, Cursor, ChatGPT, and any MCP client query structured data from LinkedIn, Instagram, Twitter/X, Reddit, YouTube, SEC EDGAR, Y Combinator, Crunchbase,...
A Model Context Protocol (MCP) server that connects to ActivityWatch, allowing LLMs like Claude to interact with your time tracking data.
SmartDB is a universal database gateway that implements the Model Context Protocol (MCP) server interface. This gateway allows MCP-compatible clients to connect and explore different databases.
A Model Context Protocol server that allows you to download subtitles from YouTube and connect them to a LLM.
