Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

AI-powered browser testing via the Model Context Protocol. Point it at any URL (or localhost) and describe what to test — an AI agent browses your app and returns pass/fail with screenshots.

An MCP (Model Context Protocol) server that enables AI assistants to analyze and summarize YouTube videos by extracting captions, descriptions, and metadata.

一个专业的、AI驱动的图表与原型绘制MCP服务器。它深度集成了智谱AI、OpenAI、Gemini等多种大语言模型,能够根据自然语言描述,智能生成**的 draw.io 格式图表和 HTML 交互式产品原型。

ToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.

One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.

A command-line interface for interacting with MCP (Model Context Protocol) servers using both stdio and HTTP transport.

The most powerful MCP Slack Server with no permission requirements, Apps support, GovSlack, DMs, Group DMs and smart history fetch logic.

docker mcp CLI plugin / MCP Gateway

Complete tutorial materials for building MCP servers with Docker - from NetworkChuck's video

Zig code intelligence server and MCP toolset for AI agents. Fast tree, outline, symbol, search, read, edit, deps, snapshot, and remote GitHub repo queries.

Damn Vulnerable MCP Server

An open-source Agent-first Identity and Access Management (IAM) /LLM MCP & agent gateway and auth server with web UI supporting OpenClaw, MCP, OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, TOTP, MFA,...
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: