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
Model Context Protocol server for Github Repo // Reading Github Repo
🗓️ Natural Language Calendar Management for macOS
Security scanner for AI agents, MCP servers and agent skills.
The runProcess tool runs processes on the host machine. There are two mutually exclusive ways to invoke it:
A Model Context Protocol (MCP) server that uses the Osmosis-Apply-1.7B model to merge code edits.
Build effective agents using Model Context Protocol and simple workflow patterns
MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding
Zen MCP server with advanced AI collaboration features
Write Model Context Protocol servers in few lines of go code. Docs at https://mcpgolang.com . Created by https://metoro.io
Drive KiCad schematic, PCB, DRC/ERC, DFM, and manufacturing review from any MCP-capable AI agent.
This MCP server allows Clients to interact with Twitter, enabling posting tweets and searching Twitter.
Model Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs
Agent Skills
Universal preflight security scanner for AI coding agents — Detects hooks injection, credential exfiltration & backdoors in .cursorrules, CLAUDE.md, AGENTS.md and more.
Multi-CLI plugin that orchestrates 49 AI agent personalities (start → plan → build → review → ship) across Claude Code, Codex, Cursor, Copilot, Gemini, Antigravity, Kiro, Windsurf, OpenCode, Kilo,...
▲ SEO Middleware • Web Analytics • Web CRON • WebSec • HTTP & SNMP Monitoring • ostr.io is a unified web-services platform
Please see https://fast-agent.ai for latest documentation.
发现真正适合你的高质量内容 —— BestBlogs 是 AI 驱动的私人阅读助手。
Documentation package manager for AI coding agents. Local-first. Offline-ready.
A Codex/Claude skill that enables aggressive web research via your OpenAI-compatible Grok endpoint (2api). Perfect for real-time information queries, version checking, and documentation lookup.
Not just links — real implementations with scripts, templates, and references you can use today.
One command drops a tested, versioned skill into your agent. No more ad-hoc prompts. The same rigorous steps run every time.
— This repository is under active development. Skills are being added and refined. Contributions, feedback, and ideas are welcome! See Contributing below.
Document-driven literature-review pipeline with an anti-hallucination verification stage (confirm-or-drop against OpenAlex/Crossref/Semantic Scholar).
Penpot AI kit