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

🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️

A simple CLI to run LLM prompt and implement MCP client.

A universal CLI client for MCP. mcpc supports persistent sessions, stdio/HTTP, OAuth 2.1, tasks, JSON output for code mode, proxy for AI sandboxes, x402, and more.

The local runtime, CLI bridge, SDK, drop-in adapters, and wallet/auth/signing layer are MIT and readable here, so you can verify what runs on your machine rather than trust a black box.

MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!

A Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches and extract results.

A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.

Agent-native knowledge engine — search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX.

Feishu / Lark 飞书文档与任务管理工具,支持 MCP 服务器和 CLI + Skill 两种使用方式,可无缝集成 Cursor、Claude Code、Cline 等 AI 编码工具

Enable your AI agents to read, analyze, and modify Figma designs.

结合 Vue 3 前端 + FastAPI 后端 + LitServe GPU负载均衡

A MCP server implementation for hyperbrowser
Agent Skills

本仓库是基于 WorkBuddy / Claude Code / Cursor 等 AI Agent 的**。每个 Skill 是一个自包含文件夹,包含 SKILL.md(Agent 执行指令)、README.md(人类文档)、references/(Prompt 参考)和 assets/(模板 HTML)。

这是 codex-windows-fast-patch skill 的公开版本,用于让支持 Agent Skills 的智能体修复 Windows 版 Codex Desktop 更新后常见的功能失效问题。

🌳 A type-safe HTML template engine for Python. Build dynamic web pages using Python components with a React-like approach.

A collection of AI agent skills useful for projects using the Kotlin language. Skills are following the Agent Skills standard, see agentskills.io for more information.

PPT Agent 基于软件工程理念的演示文稿全自动生成框架 English | 中文

a desktop app for getting work done with any model

Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for...

— This project is in early development. APIs and skill content may change.

The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all Agent Skill / Claude Code...

Add both Manim skills to your AI agent instantly:

Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.

“论文不是把字堆满,而是把项目事实、样文规范、图表截图和 Word 交付一次性闭环。”