Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
- Connect Claude Desktop, ChatGPT, and other AI assistants directly to your n8n instance for seamless workflow management, creation, and execution through the Model Context Protocol (MCP).
An MCP implementation for Selenium WebDriver
Cross-device clipboard sync for macOS, Windows & Linux — end-to-end encrypted, LAN-only, no cloud. OCR, CLI and MCP server built in.
MCP server retrieving transcripts of YouTube videos
An experimental Model Context Protocol (MCP) server that provides AI assistants with powerful structural code search capabilities using ast-grep.
Appium MCP on Steroids!
MCP Server for YouTube API, enabling video management, Shorts creation, and advanced analytics
Search Airbnb using your AI Agent
Things.app MCP Server
Official SonarQube MCP Server for code quality and security in AI agents
MCP server exposing SSH control for Linux servers via Model Context Protocol.
Lean Theorem Prover MCP
Agent Skills
The main repository for libraries used to build applications on the Atsign Platform. Three categories: SDKs, libraries, and Flutter widgets.
is an API-first Ruby web framework that combines the developer experience of Rails with fiber-based concurrency.
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。
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upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
A collection of Pi Coding Agent customized instances. Why? To showcase what it looks like to hedge against the leader in the agentic coding market, Claude Code.
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SkillsBench evaluates how well skills work and how effective agents are at using them.
Website • Getting Started • Documentation • Community
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
An interactive five-chapter night walk through a Kyoto mountain temple, rendered live in Three.js.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.