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

一个基于 MCP(Model Context Protocol)协议的智能宠物伴侣应用,通过语音识别和自然语言处理技术,为宠物主人提供实时互动和服务。该应用是一个 MCP-Client 应用,可以自主无限搭配 MCP-Server 实现需求。

Generate an MCP for any web app

Skill and MCP server for searching and retrieving icons

Automated AI code reviews powered by Claude Code. Assign a reviewer on your merge request — Claude reviews the code, tracks progress in real time, and follows up when you push fixes.

is a minimalist implementation of agents powered by LLMs and Model Context Protocol (MCP) tools.

A collection of Model Context Protocol (MCP) servers for integrating with various IT service management and remote monitoring platforms.

MCP Server Unified Deployment Open Source Project

An MCP (Model Context Protocol) server designed to interact with an Abaqus/CAE Graphical User Interface (GUI).

A Model Context Protocol (MCP) server that provides AI assistants with the ability to interact with Ansys simulation software.

A flexible gateway server that bridges Model Context Protocol (MCP) STDIO servers to MCP HTTP+SSE and REST API, enabling multi-instance MCP servers to be exposed over HTTP.

Showing how to transition from a naive agent to an MCP agent in 3 steps

An MCP (Model Context Protocol) server providing LLM agents with direct access to NASA's Common Metadata Repository (CMR).
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.