Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Give Claude on the (claude.ai) and read/edit access to files and a whitelisted shell on your local machine, over HTTPS via Tailscale Funnel, gated by OAuth 2.1. No desktop app, no device install.
Sovereign, encrypted, portable memory for AI agents.
Your digital developer twin — because "explain our setup again" gets old fast.
A library built on top of the MCP TypeScript SDK that makes it easier to implement MCP with auth into your MCP client and/or server.
OpenPets is a native macOS desktop pet for visible agent progress, review prompts, completion states, and lightweight animations across local coding tools.
An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.
A Stdio MCP server which proxies an SSE MCP server.
Transparent MCP proxy that reduces the token cost of large upstream tool responses for nearly every other MCP server imaginable.
MCP server to enable an LLM to do basic static triage of a PE.
MCP server to extract contents from a PDF file
Shared MCP server for the Upvote.club Public API.
The Open Source Analytics and Visibility Layer for ChatGPT Apps and MCP Apps.
Agent Skills
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。
把中文全渠道内容（抖音 / B站 / 小红书 / 公众号 / X / 播客）采集进个人知识库的 13 个 AI Skill：图文存图、视频转文字稿、字幕优先免 GPU，附带知识库 MCP server。
Memorizz is an educational/experimental framework. APIs may change and the project has not undergone security hardening for production workloads.
A comprehensive guide for setting up Claude Code CLI with PRD-driven workflows, extended thinking (ultrathink), and planning modes optimized for Swift/SwiftUI iOS development.
“Scale your business with proven strategies”
An is a plugin that teaches AI coding agents best practices for a specific technology, delivered as a portable Markdown knowledge pack.
JSON spec -> .excalidraw + .png + animated .gif
一个适配 Claude Code / Codex 等 Agent 环境的配图 Skill，用来把文章、笔记、图表截图、产品概念、工作汇报、教学材料和人文观点，生成**。
- 🤷 "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
Demo: Analyzing 2 years of NVDA, AMD & SPY stock data (15,000+ lines of raw JSON) using DeepSeek V3.2
Open-source, local-first AI journal app for iOS and Android. Capture text, photos, and voice — AI agents organize them into timeline cards and insights. Your data stays on your device.
Open-source, local-first video editor where creators and AI agents edit the same real timeline.