Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

MCP server wrapper for OpenAI Codex CLI that enables Claude Code to leverage Codex's AI capabilities directly.

Auto Browser is an MCP-native browser control plane for authorized workflows. It gives MCP clients, LLM agents, and operators a shared Playwright browser with human takeover, reusable auth profiles,...

Early WebMCP proposal / implementation - since evolved and worked on by much more capable folks that develop the web: https://github.com/webmachinelearning/webmcp

adb-mcp is a proof of concept project to enabled AI control of Adobe tools (Adobe Photoshop and Adobe Premiere) by providing an interface to LLMs via the MCP protocol.

Agentic Capabilities and Package Manager

Diagram generation for understanding codebases and system architecture using Nano Banana Pro.

Casbin AI & MCP security gateway for HTTP, online demo: https://door.caswaf.com

MCP configuration to connect AI agent to a Linux machine.

You describe your goal → AI inspects your Home Assistant → designs a custom solution → and deploys it on-board automatically. 🚀

SkillDock is an AI skill manager and skill management desktop app for Claude Code, Cursor, Codex, Windsurf, Gemini CLI, and other AI coding tools.

https://github.com/user-attachments/assets/2430b854-168b-4a9a-af2e-489e5efa7543

Computer-use agents work every task out from scratch, even one you've done a hundred times. And between tasks, your agent has no idea what you've been doing all day, so it starts every conversation...
Agent Skills

This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.

Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants

A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.

A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.

简单说,就是跟 Claude 说一句话,它会帮我从每天的新论文里筛一轮,挑出值得看的,再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令,基本就是: