Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
python-hwpx-automation HWPX 저작·양식 채움·업무 워크플로를 위한 Python 자동화 계층
"If I modify this class, what breaks?" — answered in 3 seconds, grounded in source. Source-grounded: structural facts from C++ source and binary assets.
This project provides examples of how to work with the TCP server in Health Auto Export app for iPhone/iPad.
🚀 Try it out · 🌐 Website · 📚 Documentation ·
An MCP server implementation that provides job search functionality.
一个面向 Android 安全测试场景的 MCP Server，聚焦以下能力： - ADB 设备与应用操作自动化 - AAPT APK 信息分析 - JADX 反编译与代码审计支撑 - 静态安全扫描（密钥泄露、弱加密、调试泄露）
gotoHuman makes it easy to add to AI agents and agentic workflows. A fully-managed async human-in-the-loop workflow with a customizable approval UI.
Production MCP server for multi-agent AI research. Plan, parallelize, synthesize.
Play Netflix / Apple TV+ / YouTube / Spotify by name. Cast URLs. Multi-room audio. AI concierge. All from your terminal.
A defensive MCP server for Claude Desktop / any MCP client — the blue-team counterpart to offensive tooling.
It's been a constant struggle trying to understand unfamiliar and complex codebases - managing cognitive overload and trying to imagine how everything fits together.
Magic UI components, searchable and installable from your AI editor.
Agent Skills
Turn Claude into a Senior Design Architect — DTCG design tokens, 42 components, WCAG 2.2 accessibility, any-framework code, 138 design systems, and runnable skills.
A terminal workbench in pure Rust: shells, persistent sessions, SSH, coding agents. GPU-rendered on Zed's gpui, VT core from Alacritty.
One command. 25 agent skills. Zero to profitable business.
Agent skills and a reference guide that teach AI coding assistants to write Rails the 37signals way — extracted from Fizzy, Campfire, and 100+ of DHH's code reviews.
Metadata-driven CLI for AI Agent Bots — 48 operations across 7 domains, structured JSON envelope I/O, zero interactive prompts.
This repo may be replaced by nuxt-skill.onmax.me. Stay tuned.
Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.
JSON spec -> .excalidraw + .png + animated .gif
Demo: Analyzing 2 years of NVDA, AMD & SPY stock data (15,000+ lines of raw JSON) using DeepSeek V3.2
Local FFmpeg · No cloud · No API keys · Python standard library Claude Code · Cursor · Codex · MCP
Thirteen curated Agent Skills package the steps, templates, scripts, examples, and quality gates behind repeatable work. They follow the open SKILL.
Agent Plugins is an open, vendor-neutral standard for packaging reusable components that extend AI agents into distributable plugins.