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

小红书爬虫数据采集,小红书全域运营解决方案

A slide framework built for agents.

一个简单好用的个人书库

Use your most capable model to audit your codebase and write plans for cheaper models to execute.

Declarative schema migrations with schema-as-code workflows

网易云音乐命令行版本

Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some...

"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein

The design language that makes your AI harness better at design.

Workflow guidance for Claude Code and Codex.

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.