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

Lean Theorem Prover MCP

An MCP for WireShark (tshark). Empower LLM's with realtime network traffic analysis capability

MCP server for Claude to access Outlook data via Microsoft Graph API

An implementation of Model Context Protocol (MCP) server for Argo CD.

Local-first Apple Health MCP server. Lets AI assistants answer questions about your sleep, workouts, activity and heart data from a local export.

Things.app MCP Server

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure.

A docker MCP Server (modelcontextprotocol)

Official SonarQube MCP Server for code quality and security in AI agents

An MCP for Godot that lets you create and edit games in the Godot game engine with tools like Claude

vs-punk: ADT to MCP bridge - Vibe code in ABAP / AMDP

TDA - Thread Dump Analyzer (for Java). Analyze your Thread Dumps with a GUI or use it as MCP Server.
Agent Skills

A collection of Agent Skills designed to help AI coding agents build and maintain Swift applications targeting WebAssembly.

High-fidelity AI video prompt reverse-engineering skill for Codex

A framework-agnostic, git-native standard for defining AI agents

科研写作助手 (Research Writing Assistant)

Pi extension for async subagent delegation with truncation, artifacts, and session sharing

One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge...

PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.

A skill family for shaping the research storyline of CCF-A papers.

东方编辑部 × 数字山水风交互式知识图谱 — 双击 HTML 文件即可在浏览器中探索。搜索、社区图例、聚焦筛选、节点视觉分层、社区轻量地图、统一社区抽屉、悬停预览、轻量摘要、明确进入阅读、Shift 多选、画布缩放拖拽和小地图定位,全部离线运行,不依赖服务器。

Intelligent prompt optimization for Claude Code. It injects the right context at the right moment - at prompt submit, tool use, and subagent start - so Claude has what it needs before it acts.

Make any LLM talk like a normal person. A system prompt that removes AI slop.

Delegate coding to agents. Improve the loop around them.