Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A defensive MCP server for Claude Desktop / any MCP client — the blue-team counterpart to offensive tooling.
MCP Server for Authentication Management
Play Netflix / Apple TV+ / YouTube / Spotify by name. Cast URLs. Multi-room audio. AI concierge. All from your terminal.
parallel-browser-mcp is an MCP server for parallel browser automation. It exposes a numeric session model over MCP so one client can create and control multiple browser sessions at the same time...
Production MCP server for multi-agent AI research. Plan, parallelize, synthesize.
gotoHuman makes it easy to add to AI agents and agentic workflows. A fully-managed async human-in-the-loop workflow with a customizable approval UI.
一个面向 Android 安全测试场景的 MCP Server，聚焦以下能力： - ADB 设备与应用操作自动化 - AAPT APK 信息分析 - JADX 反编译与代码审计支撑 - 静态安全扫描（密钥泄露、弱加密、调试泄露）
An MCP server implementation that provides job search functionality.
MCP server providing isolated sandbox environments for AI agents.
🚀 Try it out · 🌐 Website · 📚 Documentation ·
ArkTS/ArkUI 开发助手 MCP Server，为 AI 编程助手（Claude Code、Cursor、Windsurf 等）提供文档检索和华为官方智能问答能力。
FocusRelay is a fast, native Swift MCP server and CLI that helps AI assistants read and safely update OmniFocus using documented OmniFocus APIs.
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...