Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers

传说,在每一行代码的阴影里,蛰伏着一头来自深渊的**。它以**为食,以**为巢。无人得见其形,只因它的**。它不追逐光,不咆哮于风,只等**。当**,幽狼便**——那时,,仿佛整个世界都不曾察觉。唯有虚空记得:

This Agent MCP allows you to train external intelligence with zero GPU and let you trade it at Tetrees EX

Claudeに身体性を与えるMCP群

Demo only. Actual searches run by default (no visible browser). Set SURF_HEADLESS=false to make Chrome visible like in the clip above.

这是基于 everything-claude-code 进行二次开发,提供npm一键安装方式,协议沿用MIT

— 优先支持静态分析、dry-run 与本地靶场。exploit、横向移动、持久化、C2、数据外传等高风险能力属于受限实验特性;policy 与 sandbox 元数据不等同于操作系统或容器级隔离。

MoLing is a computer-use and browser-use MCP Server that implements system interaction through operating system APIs, enabling file system operations such as reading, writing, merging, statistics,...

Agentic AI for everyone. No API key. No credit card. Just pip install .

A Claude Code skill + MCP server setup for expert-level Meta Ads campaign analysis. Includes the framework, Learning Phase diagnostics, and 9 reference documents from Meta's official documentation.

A remote MCP server for SubmitMap, a directory of product launch platforms and startup directories.

A simulated Claude Code project you can click through. Every file and folder in the sidebar is a real Claude Code concept — the same .

Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools.
Agent Skills

xiaohongshu-skills

One-command tmux setup with terminal automation for AI agents.

把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills(Distill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills)

A curated collection of open-source macOS applications built with Swift

Agent Skills-compatible LLM wiki for Claude Code, Cursor, and Codex. Build a Karpathy-style knowledge base from raw sources, citations, and linting.

Prismer Cloud

Agent skills for useful HTML artifacts, wireframes, interactive prototypes, plans, and diagrams.

extract all your personal data history from cursor, codex, claude-code, windsurf, and trae

A self-organizing multi-agent collaboration platform for OpenClaw. Multiple AI agents work as an autonomous team — planning, executing, reviewing, and patrolling tasks with zero human intervention.

My profile & the agent skills I created

ShinkaEvolve : Towards Open-Ended and Sample-Efficient Program Evolution 🧬

A passive recording project allows you to have complete control over your data. Automatically take screenshots of all your screens, index them, and save them locally.