Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
The official MCP server implementation for the Perplexity API Platform
The TypeScript MCP framework
Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.
A [Model Context Protocol] server that can run any Open Source tool via pkgx.
Give your AI assistant real SEO data. DataSEO MCP is a Model Context Protocol server that lets Claude, Cursor, and other MCP clients pull from Ahrefs' free tools — plus optional AI query planning —...
A Model Context Protocol (MCP) server implementation for Todoist integration, specifically developed for Cursor AI.
MCP Documentation Management Service - A Model Context Protocol implementation for documentation management
这是一个基于 MCP (Model Context Protocol) 的 SSH 工具，它能让 AI 模型通过标准化接口访问和管理 SSH 连接。
xml.Revit.MCP provides a comprehensive set of tools for integrating with Autodesk Revit through the Model Context Protocol (MCP).
AI companion for FIFA World Cup 2026 — 18 tools covering matches, teams, venues, city guides, fan zones, visa info, head-to-head records, and more. Works with Claude, ChatGPT, Cursor, and Telegram.
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)