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
Links to samples, tools, and resources for building and integrating Model Context Protocol (MCP) servers on Azure using multiple languages
一個簡單易用的網頁工具，用於管理 GitHub Copilot Coding Agent 的 MCP (Model Context Protocol) 設定
ToyAIKit is a minimalistic Python library for building AI assistants powered by Large Language Models (LLMs).
For more details, please refer to my article: - Get Start with Model Context Protocol. - MCP Server and Client with SSE & The New Streamable HTTP - MCP Authorization: The NEW RS and AS Separation!
A Model Context Protocol (MCP) server for category-aware web search, website scraping, and date/time tools. Designed for seamless integration with SearXNG and modern MCP clients.
✨用Java实现的MCP，爬取最新热点新闻，允许LLM调用。告别信息茧房，用AI洞悉世界。
Native dialog system for MCP (Model Context Protocol) servers.
本项目是一个 Android 逆向工程工具集合，通过 MCP (Model Context Protocol) 协议将 AI 助手（如 Claude）与专业的 Android 反编译工具连接起来，实现智能化的 APK 分析与修改。
A tshark MCP server for packet capture and analysis
A for and . Multi-MCP integrates with and to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for , (OWASP Top 10), and .
MCP桥接浏览器插件，让网页端的AI具备调用MCP工具的能力
Modern MCP server + browser extensions for reliable, multi‑instance automation over a single WebSocket daemon.
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.