Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Native macOS client for Model Context Protocol (MCP)
Build, visualize, and run intelligent AI workflows without writing code. Drag-and-drop canvas · LLM & Agent nodes · RAG pipelines · Multi-agent orchestration · MCP support
Easily spin up an MCP Server on Next.js, Nuxt, Svelte, and more
Easily spin up an MCP Server on Next.js, Nuxt, Svelte, and more
A tool that converts OpenAPI specifications to MCP server
You use Claude for some things, ChatGPT for others, and Cursor for code. But your context, including your projects, decisions, and preferences, does not move with you.
现代化资产测绘与漏洞监控平台 (ARL-Next)。经典 ARL 架构重构，聚焦企业资产关联、异步解耦并发调度与原生 MCP 协议集成，容器化开箱部署。
An Mcp client inside Emacs
Intelligent token optimization through caching, compression, and smart tooling for Claude Code and Claude Desktop
30+ collectors, real-time alerts, built-in MCP server for AI analysis. Nothing phones home. Your data stays on your server and your machine.
Open-source, multi-platform harness for AI agents - a native, multi-threaded operator's console (JVM, not Electron) to run Claude Code, Codex, Gemini or OpenCode with a real browser, terminal,...
A MCP (Model Context Protocol) server for interacting with dbt.
Agent Skills
Agent skills and a reference guide that teach AI coding assistants to write Rails the 37signals way — extracted from Fizzy, Campfire, and 100+ of DHH's code reviews.
A curated marketplace of Claude Code plugins for software engineering workflows.
Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.
A collection of Agent skills and Claude Code plugins for HashiCorp products.
AI got superpowers through Skills and MCPs. What about humans?
A Next-Gen AI Agent Platform & Desktop Control Plane 中文文档 | Features | Getting Started | Architecture
即梦 是字节跳动的多模态 AI 视频生成模型，支持图片 / 视频 / 音频混合输入，可生成 4–15 秒的高质量视频。
A curated, installable collection of AI agent skills for research, writing, analysis, and scientific workflows.
- 🤷 "AI到底能帮我做什么？" —— 听了100场演讲，还是一头雾水 - 💸 "我该先投哪个方向？" —— 怕投错钱，更怕错过窗口期 - 📊 "别人都在用AI了？" —— 焦虑但不知道从哪开始
Memorizz is an educational/experimental framework. APIs may change and the project has not undergone security hardening for production workloads.
The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.
This repo may be replaced by nuxt-skill.onmax.me. Stay tuned.