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

将本地 MCP 服务器无缝接入各大网页版 AI 助手的浏览器扩展 本项目由 OPENCODE + Claude Opus 4.6 完成

基于滴答官方文档生成的日程待办增删改查MCP服务

A MCP client for browser-use

mcp-rails is a Ruby on Rails gem that builds on top of the mcp-rb library to seamlessly integrate MCP (Model Context Protocol) servers into your Rails application.

A comprehensive suite of Model Context Protocol (MCP) servers from Kukapay.

Remote MCP server with auth gated by Azure API Management

CLI tool to scaffold ERC-8004 compliant AI agents with A2A, MCP, and x402 payment support.

A Cloudflare-powered MCP (Model Context Protocol) Server that allows you to search and query your GitHub starred repositories using natural language.

A collection of AI-assisted automation tools for and , built around the Model Context Protocol (MCP).

A Model Context Protocol (MCP) server for Dev Proxy that enables AI assistants to interact with Dev Proxy capabilities using the MCP standard. Use this server to:

An MCP (Model Context Protocol) server that connects AI coding assistants to -- the industry-standard MBSE tool for SysML and UML modeling.

A Model Context Protocol (MCP) server that provides basic mathematical, statistical and trigonometric functions to Large Language Models (LLMs).
Agent Skills

SigNoz Website

Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.

Claude Code skill + Remotion scaffold for building polished product launch videos.

Permissionless infrastructure for agents. No human intervention required.

Develop Swift/iOS projects using VSCode

Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.

如果在使用过程中遇到问题,请通过 Issues 反馈功能正确性问题和功能请求,其他问题请通过 Discussions 反馈~

VS Code in the terminal

Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.

Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.

🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...