Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
esa.io の公式 MCP(Model Context Protocol)サーバー(STDIO Transport 版)
金蝶云星空 K3Cloud MCP Server，让 AI 助手（Claude Desktop、Claude Code、Cursor、Windsurf、Cline、Continue、Cherry Studio 等任意支持 MCP 协议的客户端）通过自然语言查询和操作金蝶 ERP 系统。标准 PyPI 包，pip install 或 uvx 均可直接运行，无需绑定特定包管理器。
TurboPush MCP Server - Connect AI agents (Claude, OpenClaw) to publish content across 20+ platforms including WeChat, Douyin, Bilibili, Xiaohongshu, and more via Model Context Protocol.
MCP server for shadcn/ui component references
A Model Context Protocol (MCP) server that provides AI assistants (MCP Clients) with direct access to HLedger accounting data and functionality.
MCP server for Bear app - Full Read + Write AI-powered note management with Claude Desktop
Welcome to the Model Context Protocol (MCP) server for pure.md.
Give your AI assistant real-time access to Fabric & NeoForge documentation
MCP Server for Apache Airflow
ThinQ Connect MCP Server
Entprise architect assistant
国土交通省が保有するデータと民間等のデータを連携し、一元的に検索・表示・ダウンロードを可能にする国土交通データプラットフォームが提供する利用者向けAPIと接続するMCP (Model Context Protocol) サーバー（α版）です。
Agent Skills
每天定时 12:00 更新，数据从 2024-01-01 开始拉取，每天累计更新。
Feed your AI something healthier than Markdown. allium-lang.org
给 Agent 一个链接，它会先选对读取通道，再把完整原文交给后续的总结、写作、翻译或分析任务。
See the Kocoro product site for the current product demo.
git-memento is a Git extension that records the AI coding session used to produce a commit. It attaches AI conversation transcripts as git notes, creating an audit trail for AI-assisted development.
A Python CLI tool for coordinating multi-agent development workflows through shared JSON task files. Designed for use with OpenClaw and AI agent orchestration systems.
Central repository for managing Skills to "human" vibe-talking.
No network, no API key, no dependencies. One small C program.
https://github.com/user-attachments/assets/2a5760fe-1886-4490-9c2b-aceec24aff2f
Defense-in-depth protection for Claude Code. Blocks dangerous commands and protects sensitive files via PreToolUse hooks.
An OpenClaw-native knowledge retention skill that turns raw inputs into structured practice so you can use what you know, not just store it.
Productized companion to our paper (arXiv:2606.32014). See Paper & citation.