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

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP server, and an ACP agent any editor...

F2C MCP Server

Lighweight CLI to interact with MCP servers

Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.

Turn your thinking into queryable context

🧠 The AI-native memory framework for building intelligent, context-aware applications 🧠 Built with Rust, Cortex Memory is a high-performance, persistent, and intelligent long-term memory system...

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

💻 Give AI models complete control of your computer (probably a bad idea)

Give agents controlled browser sessions for research, QA, screenshots, and web tasks.

Telegram MCP server powered by Telethon to let MCP clients read chats, manage groups, and send/modify messages, media, contacts, and settings.

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP).

FreeCAD MCP(Model Context Protocol) server
Agent Skills

is a config-driven dev tool for Elixir projects that manages your AGENTS.md file and agent skills from dependencies. It:

一句话:输入一个基金代码,Agent 把基金经理 8 年的每一笔买卖翻出来,拿 12 个月后的真实走势逐笔验对错,最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测,全都有。

The skills I actually use to build software with coding agents. Straight out of my .claude/skills/ folder.

Blueprint helps agents decide what to build, make focused changes, test them, get an independent review, and open pull requests.

LeetCode Helper is a Codex skill for solving LeetCode-style coding interview problems with optimized solutions and detailed explanations.

The #1 Kubernetes skill for Claude Code and Codex, measured by GitHub stars.

A collection of skills for AI agents. Follows the Agent Skills specification. This repository is my personal skill testing ground.

A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...

An AI Agent skill that wraps the Bitget Wallet API, enabling natural-language-driven on-chain data queries and swap operations.

Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.

A collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities.

The map is not the territory. Your prompt is a map; the codebase and the real world are the territory.