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-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.

The safest way to make REST calls in C# with an MCP Generator

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Discover Exceptional MCP Servers

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

A Model Context Protocol server built with Express.js that provides cryptographic tools including key pair generation, shared secret derivation, and message encryption/decryption.

The official GitHub Copilot plugins collection ✨

Model Context Protocol server to use ClickHouse® databases in your AI agents

The Dataverse Remote MCP Server has been released at Build. To help you get started, we have prepared labs for you to try out.

Model Context Protocol servers you can actually run yourself.

EasyMCP is usable but in beta. Please report any issues you encounter.

🚀 - OpenFOAM Model Context Protocol server with AI-powered educational capabilities including Socratic questioning, context engineering, and systematic error resolution.
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.