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

This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsheets.

High-quality parsing 257 languages/grammars through tree-sitter AST analysis, in-process resolvers, enhanced with compiler-grade resolution for Python, TypeScript / JavaScript, PHP, C#, Go, C, C++,...

CodeGraph transforms your entire codebase into a semantically searchable knowledge graph that AI agents can actually reason about—not just grep through.

Not a path. Not a URL. A handoff that answers back.

Token-efficient MCP adapter for Pi coding agent

Browse the web, directly from Cursor etc.

Vibetest MCP - automated QA testing using Browser-Use agents

JSReverser-MCP 是一个面向 JavaScript 逆向分析的 MCP 工具,专门用于帮助开发者在真实浏览器环境中高效定位前端核心逻辑。它 将脚本检索、断点调试、函数 Hook、网络请求追踪、调用链分析、混淆还原和风险评估整合为统一能力,可直接接入 Claude、 Codex、Cursor 等支持 MCP 的客户端。

📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.

Connect ClickHouse to your AI assistants.

Give your AI agent eyes for PDFs — structured text, tables, OCR, visual evidence, and page-level citations via MCP. Native Rust, local-first.

MCP server that gives AI assistants the power to control a web browser.
Agent Skills

Turn Claude into a Senior Design Architect — DTCG design tokens, 42 components, WCAG 2.2 accessibility, any-framework code, 138 design systems, and runnable skills.

A terminal workbench in pure Rust: shells, persistent sessions, SSH, coding agents. GPU-rendered on Zed's gpui, VT core from Alacritty.

One command. 25 agent skills. Zero to profitable business.

Agent skills and a reference guide that teach AI coding assistants to write Rails the 37signals way — extracted from Fizzy, Campfire, and 100+ of DHH's code reviews.

Metadata-driven CLI for AI Agent Bots — 48 operations across 7 domains, structured JSON envelope I/O, zero interactive prompts.

This repo may be replaced by nuxt-skill.onmax.me. Stay tuned.

Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.

JSON spec -> .excalidraw + .png + animated .gif

Demo: Analyzing 2 years of NVDA, AMD & SPY stock data (15,000+ lines of raw JSON) using DeepSeek V3.2

Local FFmpeg · No cloud · No API keys · Python standard library Claude Code · Cursor · Codex · MCP

Thirteen curated Agent Skills package the steps, templates, scripts, examples, and quality gates behind repeatable work. They follow the open SKILL.

Agent Plugins is an open, vendor-neutral standard for packaging reusable components that extend AI agents into distributable plugins.