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
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
A lightweight way to use environment variables in your Cursor MCP server definitions.
This MCP server provides tools for listing and retrieving content from different knowledge bases.
- — MCP Protocol v2 (spec revision 2026-07-28, streamable HTTP) and experimental StrongDM API support are here — see the release notes.
MCPSafari: Native Safari MCP Server for AI Agents
MCP server to perform various OSINT tasks by leveraging common network reconnaissance tools.
A starting point for Claude Code to Codex collaboration
allows AI to control the Godot Editor to create scenes, nodes, scripts. It can debug script errors, debugger and output logs.
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.
移动端 AI 自动化测试平台 —— MCP 工具 + AI Agent + 可视化操控台
MCP server to extract contents from a PDF file
OpenPets is a native macOS desktop pet for visible agent progress, review prompts, completion states, and lightweight animations across local coding tools.
Agent Skills
A collaborative list of awesome Helm resources.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
About • How It Works • Documentation • Quickstart • Skills • Templates
Large Language Models (LLMs) have rapidly evolved into powerful general-purpose reasoning and generation engines.
AI agent skills for startup validation, competitive intelligence, and planning
AI-powered design review for KiCad. Analyzes schematics, PCB layouts, and Gerbers. Catches real bugs before you order boards.
zvm (Zig Version Manager) lets you easily install/upgrade between different versions of Zig.
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。
The autonomous research agent that beats Claude Code and Codex by 2.5× on the same compute budget
Codex Skill for producing authorized digital-human talking-head videos with MiniMax overseas voice cloning and HeyGen Image-to-Video.
基于 Vant 设计语言，为小程序与 H5 提供一致、类型安全且高度可定制的开发体验。