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

Connect AI assistants to your terminal with full control — 36 MCP tools including SFTP support

Essential random number generation utilities from the Python standard library, including pseudorandom and cryptographically secure operations for integers, floats, weighted selections, list...

MCP server for Taiwan's largest job platform — search jobs, browse companies, and apply, all from Claude.

CLI and MCP server for discovering and calling Google APIs from agents and scripts.

CLI toolkit for Dynamics 365 Finance & Operations X++ development. Indexes AOT metadata, scaffolds objects, and wires up AI agents via a stable JSON envelope and MCP.

The watchman for your local AI agents' MCP layer.

Local MCP server for COMSOL modeling workflows, validation, and RAG-assisted multiphysics automation.

Flight search, price tracking and booking for AI agents. Hosted MCP server (mcp.flightclaw.com) + open-source skill.

MCP server for Divar — search, compare and analyze classified ads. Read-only, no API key.

One-Click MCP Configuration Sync Tool. 中文

Scout’s local MCP puts metrics, traces and errors right in your AI agent. For teams that do it all.

MCP server for Cosense (formerly Scrapbox).
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。