Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Access thousands of AI prompts directly in your AI coding assistant
デジタル庁が公表している行政手続等の棚卸調査結果（約75,000件）を分析できる MCP サーバーです。Claude Desktop や ChatGPT 等の MCP 対応チャットから接続することで、自然言語でデータの検索・集計が行えます。MCP Apps 対応クライアントではチャット内にグラフや表を直接表示することもできます。
python-hwpx-automation HWPX 저작·양식 채움·업무 워크플로를 위한 Python 자동화 계층
"If I modify this class, what breaks?" — answered in 3 seconds, grounded in source. Source-grounded: structural facts from C++ source and binary assets.
This project provides examples of how to work with the TCP server in Health Auto Export app for iPhone/iPad.
🚀 Try it out · 🌐 Website · 📚 Documentation ·
An MCP server implementation that provides job search functionality.
MCP server for the Hotwire Club knowledge base - provides tools for searching, browsing, and discovering documentation from the Hotwire Club knowledge base.
一个面向 Android 安全测试场景的 MCP Server，聚焦以下能力： - ADB 设备与应用操作自动化 - AAPT APK 信息分析 - JADX 反编译与代码审计支撑 - 静态安全扫描（密钥泄露、弱加密、调试泄露）
gotoHuman makes it easy to add to AI agents and agentic workflows. A fully-managed async human-in-the-loop workflow with a customizable approval UI.
Production MCP server for multi-agent AI research. Plan, parallelize, synthesize.
Play Netflix / Apple TV+ / YouTube / Spotify by name. Cast URLs. Multi-room audio. AI concierge. All from your terminal.
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!