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
A ModelContextProtocol server that enables AI assistants to interact with Figma files. This server provides tools for viewing, commenting, and analyzing Figma designs directly through the...
MCP server for Shopify api, usable on mcp hosts such as Claude and Cursor
Index your codebase. AI searches instead of re-reading files. 94% token savings, reproducibly benchmarked.
一个基于 .NET 的 Windows 桌面自动化 MCP (Model Context Protocol) 服务器，为 AI 助手提供与 Windows 桌面环境交互的能力。
An MCP server that provides access to arXiv papers through their API.
An MCP server that connects your AI assistant to HackerOne. It pulls your bug bounty history, program scopes, and report details into a local SQLite database, then exposes tools that let any...
Um MCP Server que fornece acesso programático à API do Portal da Transparência do Governo Federal brasileiro através do protocolo MCP.
This project leverages Playwright for automated browser testing and integrates with Cloudflare Workers, Browser Rendering and @cloudflare/playwright for deployment.
MCP Server for running code snippet and show the result.
MCP server for AutoCAD LT automation and headless DXF generation.
Android Skills MCP wraps Google's android/skills library so any AI coding assistant can use it without copy and paste.
Build games faster with Claude, Cursor, or any MCP-compatible AI — no copy-pasting, no context switching. AI reads, writes, and manipulates your scenes, scripts, nodes, and project settings directly.
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
橙皮书 (Orange Book) Series · by HuaShu (花叔)