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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

FastMCP for Google's langextract library

This tool generates from OpenAPI specifications, creating Python packages that can be used by AI assistants to interact with APIs.

A production-ready template for developing Model Context Protocol (MCP) servers using Python and FastMCP.

The open-source control plane for Codex projects: visible progress, resumable context, safe handoffs, and reusable knowledge.

A Model Context Protocol (MCP) server for MQTT.

飞书MCP服务器是一个基于Model Context Protocol的服务,提供飞书API集成,使AI模型能够轻松与飞书服务交互。

Anthropic’s Model Context Protocol implementation for Oat++

An interactive chat interface that combines Ollama's LLM capabilities with PostgreSQL database access through the Model Context Protocol (MCP).

Query and Summarize your chat messages.

A XGo implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

AutoGenesis is an AI-powered automated testing framework based on Model Context Protocol (MCP), supporting multiple platforms including desktop applications (Windows/macOS) and mobile applications...

mcp tools for your favorite agent - be the best guide you can be
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。