Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

A docker MCP Server (modelcontextprotocol)

微信读书MCP

An MCP for WireShark (tshark). Empower LLM's with realtime network traffic analysis capability

A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.

An implementation of Model Context Protocol (MCP) server for Argo CD.

Stata MCP Extension for VS Code, Cursor, and Antigravity IDE

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

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

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.

MCP server that execute applescript giving you full control of your Mac

Real-time data — and real trades — for Claude and any AI agent.

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure.
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。”