Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

デジタル庁が公表している行政手続等の棚卸調査結果(約75,000件)を分析できる MCP サーバーです。Claude Desktop や ChatGPT 等の MCP 対応チャットから接続することで、自然言語でデータの検索・集計が行えます。MCP Apps 対応クライアントではチャット内にグラフや表を直接表示することもできます。

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)

Generate AI-friendly interfaces from your existing Swagger/OpenAPI specs. This tool converts APIs into Model Control Protocol (MCP) format — used to control tools and environments via large language...

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.

飞书 MCP 配置指南 - 让 AI 读写飞书文档、多维表格、知识库 | Feishu/Lark MCP for openclaw, Cursor, Claude Desktop
Agent Skills

A Datacenter Scale Distributed Inference Serving Framework

Craft AI-driven interface effortlessly🤖

Looking for the JS/TS library? Check out AgentsJS

A slide framework built for agents.

Toolkit for building native desktop apps

A curated list of Web Performance Optimization.

一个简单好用的个人书库

A Network Arena for Benchmarking AI Agents on Network Troubleshooting

Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents

Use your most capable model to audit your codebase and write plans for cheaper models to execute.

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A composable library of skills and rules for AI coding agents. Covers repo memory, long-horizon execution, multi-agent coordination, TDD, security review, and delivery automation.