Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
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.
Production MCP server for multi-agent AI research. Plan, parallelize, synthesize.
Execute IDAPython scripts in IDA Pro through any MCP-compatible AI assistant.
Play Netflix / Apple TV+ / YouTube / Spotify by name. Cast URLs. Multi-room audio. AI concierge. All from your terminal.
MCP Server for the Discogs API, enabling music catalog operations, search functionality, and more.
The watchman for your local AI agents' MCP layer.
Join us in accelerating scientific discovery with AI and open-source tools!
A defensive MCP server for Claude Desktop / any MCP client — the blue-team counterpart to offensive tooling.
AI-powered visual debugging for your React, Vue, Svelte, SolidJS, Preact & Next.js app via MCP and ACP
Printed on startup. In a real terminal the box animates in brick-by-brick (set BRICKS_BANNER=anim|static|off).
A static MCP server that provides AI models with persistent tool context, preventing context loss between chats.
Turn any MCP Client into a "multi-agent" system (via prompting)
Agent Skills
将工单分析 SOP 固化为可复用的 Claude Skill，通过 agent-browser 稳定获取内网工单数据，并利用 AI 进行自动化分析。
Reference Checker Skill 是一个用于**的 AI Skill，适合研究生、科研作者、编辑、审稿助理和学术写作者使用。
Open-source multi-agent PM-ops team — associate PM, GTM, QA, data-analyst subagents and more, orchestrating product work end to end.
Claude Code / OpenClaw Skill。装进 agent 后，用一句自然语言生成 9:16 竖版卡片组（图文）或短视频脚本，配 caption + hashtags，按规范落盘。支持真实素材图生图、卖点分析、5种标题公式。
Curated Prompt Card library for LLM trainers, AI PMs, and evaluation teams.
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.
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.
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.
Develop Swift/iOS projects using VSCode