Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment...
This is a basic example of a Model Context Protocol (MCP) server implementation that demonstrates core functionality including tools and resources.
MCP In Action 是一个实战项目，旨在帮助开发者快速掌握 Model Context Protocol (MCP) 的开发与应用。本项目通过实际案例展示如何构建基于 MCP 的应用，使大语言模型能够与外部工具和数据源进行交互，从而增强模型的能力范围。
An Model Context Protocol (MCP) server that provides access to the Fastmail API, enabling AI assistants to interact with email, contacts, and calendar data.
Install via Unity Package Manager to let Claude, Cursor, Windsurf, or any MCP-compatible AI assistant control your Unity Editor with across . Built and maintained by AnkleBreaker Studio.
It's like v0, but in your Cursor / Claude Code / Windsurf: search 10,000+ React/Tailwind components, generate new UI with AI, and publish your own — right from your editor.
THE FUTURO
This is the repository for the LinkedIn Learning course Model Context Protocol (MCP): Hands-On with Agentic AI. The full course is available from LinkedIn Learning.
Self-hosted MCP server for AI coding assistants. Persistent knowledge base with 45 tools, 12 skills, institutional memory.
🛡️ PII Shield Anonymize documents before Claude sees them. Restore real data after analysis.
让 DCC 工具通过 MCP 协议接入 AI Agent 的桥接框架 | Bridge DCC tools to AI Agents via MCP protocol
Command-line tool for debugging MCP servers
Agent Skills
Collection of components and sections specifically designed for creating landing pages with Nuxt 4 and Nuxt UI.
CLI to manage emails
Clone of nanoclaw in Elixir
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Shared guardrails, skills, and bootstrap scripts for AI coding agents
Turn noisy command output into a short, actionable first pass for coding agents.
Unofficial Python CLI for Google Flow. Drive Veo (image-to-video, text-to-video) and Imagen (text-to-image) from your terminal: scripted, batched, pipeline-ready.
Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth.
Vendor-neutral, persistent project context for AI coding agents. Shared state lives under docs/context/, stays reviewable in Git, and survives chat resets, compaction, and switching agents (Claude...
AI code review that lands on the PR, not in your terminal — GitHub, GitLab, Bitbucket. Learns each repo's conventions: 1 review, 1 fix commit, replies in thread.