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

The urlDNA MCP Server enables native tool use for security-focused LLM agents like OpenAI GPT-4.1 and Claude Desktop, providing a direct interface to interact with the urlDNA threat intelligence...

Catch up on Slack without reading it. Unreads, threads, search. Browser-session or hosted OAuth. 21 tools.

Цены, наличие, рейтинги, отзывы и реквизиты продавцов с Wildberries, Ozon, Яндекс Маркета, Детского мира, Авито, Taobao, Мегамаркета, Lamoda, DNS и Ситилинка.

Figma MCP build with Rust, server with full read/write access via plugin (no REST API, no rate limits, 73 tools)

A powerful FastMCP server that enables AI agents to seamlessly search, recommend, and deliver professional stock photos from Unsplash with intelligent context awareness and automated attribution...

MCP server for Unreal Engine that uses Unreal Python Remote Execution

MCP server for automated "talking head" video editing. Reads CapCut's auto-generated subtitles to find and remove silences and duplicate takes — directly in the CapCut project.

Turn any MCP Client into a "multi-agent" system (via prompting)

A static MCP server that provides AI models with persistent tool context, preventing context loss between chats.

with professional assessment GUI and comprehensive MCP server. Built for cybersecurity professionals, CISOs, and AI integration.

engraph — Vault Intelligence for AI Agents

Ogham (pronounced "OH-um") -- persistent, searchable shared memory for AI coding agents. Works across clients.
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: