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
MCP Server Framework and Tool Development library for building custom capabilities into agents.
LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing...
MCP server for JADX-AI Plugin
You use Claude for some things, ChatGPT for others, and Cursor for code. But your context, including your projects, decisions, and preferences, does not move with you.
Build, visualize, and run intelligent AI workflows without writing code. Drag-and-drop canvas · LLM & Agent nodes · RAG pipelines · Multi-agent orchestration · MCP support
A tool that converts OpenAPI specifications to MCP server
Easily spin up an MCP Server on Next.js, Nuxt, Svelte, and more
Native macOS client for Model Context Protocol (MCP)
A comprehensive collection of Model Context Protocol (MCP) servers
Security scanner for MCP servers
MCP server for TouchDesigner
Intelligent token optimization through caching, compression, and smart tooling for Claude Code and Claude Desktop
Agent Skills
香色闺阁（StandarReader 2.56.1）书源开发资料仓库，聚焦三件事： - （网站 → JSON → 校验 → XBS → 导入 App） - 书源格式转换（JSON XBS） - Codex 技能（skill）沉淀与实战规则维护
Optimize a skill document / system prompt like you would optimize code: iterate, evaluate, and keep the model weights frozen.
Official skills for using Brave Search API with AI coding agents.
Agent skill for production-grade ROS 2 development — from first workspace to fleet deployment.
把一堆手机拍的旅行素材，用 AI Agent 自动剪成一个完整 Vlog。 你只需要提供素材文件夹，剩下的交给 Agent。
BAGEL is a model-agnostic, modular, fully customizable Python framework for programmable protein design.
一个面向 Seedance 2.5 商业广告创作的导演型 Skill。它把产品 brief、参考图和传播目标转换为 15 秒、30 秒或自定义时长的 TVC 策略、导演执行单、分镜预览与可复制视频提示词，也能根据生成成片的时间码证据给出局部重试方案。
一个用于 的 Codex Skill。它通过 ADB 截图、UI 层级、系统运行时信息和结构化索引，把“人工逛 App”变成一套可追溯、可核验、可用于横向对比的证据材料。
Clone any website with one command using AI coding agents
本 skill 把叶子南《高级英汉翻译理论与实践》（第4版）的英译汉方法论，工程化为一条英译中流水线。核心信条如下：
— These skills are functional and actively maintained. Feedback and suggestions are welcome on GitHub Discussions.
Locate every paper in the literature, not just in a summary.