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

- Connect Claude Desktop, ChatGPT, and other AI assistants directly to your n8n instance for seamless workflow management, creation, and execution through the Model Context Protocol (MCP).

An MCP implementation for Selenium WebDriver

Cross-device clipboard sync for macOS, Windows & Linux — end-to-end encrypted, LAN-only, no cloud. OCR, CLI and MCP server built in.

MCP server retrieving transcripts of YouTube videos

An experimental Model Context Protocol (MCP) server that provides AI assistants with powerful structural code search capabilities using ast-grep.

Appium MCP on Steroids!

MCP Server for YouTube API, enabling video management, Shorts creation, and advanced analytics

Search Airbnb using your AI Agent

Things.app MCP Server

Official SonarQube MCP Server for code quality and security in AI agents

MCP server exposing SSH control for Linux servers via Model Context Protocol.

Lean Theorem Prover MCP
Agent Skills

Everything you need to know about OpenCode — from your first prompt to custom agents, skills, plugins, and MCP integrations.

是由同花顺官方提供和维护的 A股金融数据服务,面向 AI Agent、量化研究者和应用开发者。

个人常用的 Agent Skill(公开部分)。通过合适的上下文工程,可以将 Agent Skill 用在几乎任何地方。

AI coding agents are great at Python. They hallucinate in Spring Boot.

Elves is an open-source Agent Skill for handing planned development or research work to a separate worker without locking the run to one model provider.

Browser Control lets trusted coding agents run Playwright against your existing Chromium-family browser.

- Manage Claude Code, OpenAI Codex, Google Gemini, OpenCode, and custom AI agents from one powerful command-line interface.

The open-source desktop AI agent that gets work done — an agent that plans and self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in a single self-hostable stack.

Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.

A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...

一句话:输入一个基金代码,Agent 把基金经理 8 年的每一笔买卖翻出来,拿 12 个月后的真实走势逐笔验对错,最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测,全都有。

Local-first harness for agent-built codebases. Humans steer, agents execute, maestro is the substrate.