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

Python boilerplate for creating AI agents, MCP servers, API microservices and monolith services. All in one!

The official draw.io MCP (Model Context Protocol) server that enables LLMs to create and open diagrams in the draw.io editor.

One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code

A comprehensive demonstration project featuring a realistic PostgreSQL dataset for , a fictional home improvement retail company, combined with three specialized Model Context Protocol (MCP) servers.

Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.

Connect any AI model to 1200+ integrations (MCP, CLI, API)

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

A comprehensive stdio MCP (Model Context Protocol) server for SEO APIs. This server allows LLMs (Large Language Models) to interact with DataForSEO API functions and other SEO tools.

Inkdrop Model Context Protocol Server

A Fastify plugin that implements the Model Context Protocol (MCP) server using JSON-RPC 2.0. This plugin enables Fastify applications to expose tools, resources, and prompts following the MCP...

Open-source foundation of ToolJet AI - the enterprise app generation platform for internal tools, dashboards, business applications, workflows and AI agents.
Agent Skills

Vercel's official collection of agent skills

that teach AI assistants how to build fast, beautiful, secure Mapbox applications across platforms. Covers performance optimization, cartographic design, framework integration, platform migration,...

AI agents should not give project advice from vibes.

Skills for AI coding agents — Laravel, PHP, React, TypeScript, testing, security, and code quality.

Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.

A curated, hands-on library of notebooks, demos, and resources for AI/ML, Deep Learning, Generative AI, AI-Agents, fine-tuning, and modern tooling.

for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.

🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.

A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.

Chainstack is the leading suite of services connecting developers with Web3 infrastructure

Agent skills I use every day.

Open the interactive guide to learn more about the Skill