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

WordPress MCP server plugin, live on WordPress.org. Connect Claude Code, Cursor, or any MCP client to WordPress over stdio (WP-CLI) or HTTP. 56 abilities, self-contained, no cloud.

MCP Server for Hex Package Versions

Give your AI a persistent, reusable UI. It builds the app once — you keep it forever.

MegaMem is an Obsidian plugin that syncs your notes into a (powered by Graphiti) and exposes it to AI assistants through the .

565 AI-callable tools across 16 MCP servers controlling Blender, Substance Painter, Substance Designer, Substance Sampler, Maya, Houdini, and Unreal Engine 5 — unified under a single AI agent.

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI...

A Model Context Protocol (MCP) server for integrating AI assistants with Printify's print-on-demand platform.

61 MCP Tools 5 MCP Resources 74 Device Models 151 Modules 15 Cable Types

Command-line tool for debugging MCP servers

Git-backed knowledge base served over the — agents read and write directly with hybrid semantic + keyword search, structured tables, files, and a URI graph.

Security and Authorization support for Model Context Protocol in Spring AI.

A server that provides AI assistants with real-time access to Azure retail pricing information. Query VM prices, compare costs across regions, estimate monthly bills, and discover available SKUs—all...
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: