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
An implementation of Model Context Protocol (MCP) server for Argo CD.
- 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
Lean Theorem Prover MCP
Search Airbnb using your AI Agent
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 exposing SSH control for Linux servers via Model Context Protocol.
📖 Docs · ⭐ Star us · memtrace.io · npm · Discord
A docker MCP Server (modelcontextprotocol)
MCP server retrieving transcripts of YouTube videos
Official SonarQube MCP Server for code quality and security in AI agents
Things.app MCP Server
Agent Skills
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Personal memory across agents
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provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
RPC messaging library for the VS Code extension platform
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...