Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP server for Shopify api, usable on mcp hosts such as Claude and Cursor
Coding Tools MCP is a model-neutral coding-agent runtime MCP server. It exposes local coding primitives to any MCP client:
An MCP server to create secure code sandbox environment for executing code within Docker containers. This MCP server provides AI applications with a safe and isolated environment for running code...
Most AI agents still explore documentation the expensive way:
Stop exporting CSVs. Start asking your AI agent questions.
An MCP server that provides access to arXiv papers through their API.
MCP server for enabling LLM applications to perform deep research via the MCP protocol
MCP server connecting to Kubernetes
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
Easily convert tool, agents and orchestrators from existing agent frameworks to MCP servers
The package provides two ways to connect AI applications to MCP servers on AWS:
This MCP server adds tools and resources for accessing Effect documentation.
Agent Skills
The #1 Kubernetes skill for Claude Code and Codex, measured by GitHub stars.
Elves is an open-source Agent Skill for handing planned development or research work to a separate worker without locking the run to one model provider.
An that runs end to end on the Atlas Cloud API + local ffmpeg, usable by any coding agent (Claude Code, Codex, etc.). You give it a one-line topic; it gives you an mp4.
The #1 Terraform skill for Claude Code and Codex, measured by GitHub stars.
The map is not the territory. Your prompt is a map; the codebase and the real world are the territory.
Browser Control lets trusted coding agents run Playwright against your existing Chromium-family browser.
LeetCode Helper is a Codex skill for solving LeetCode-style coding interview problems with optimized solutions and detailed explanations.
The open-source desktop AI agent that gets work done — an agent that plans and self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in a single self-hostable stack.
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.
The skills I actually use to build software with coding agents. Straight out of my .claude/skills/ folder.
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...
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。