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
A Model Context Protocol (MCP) server for interacting with Minecraft via Mineflayer. This package enables AI agents to control Minecraft bots through a standardized JSON-RPC interface.
This project enables Claude to use Model Context Protocol (MCP) servers for enhanced capabilities, including web search, GitHub integration, file operations, database access, and communication tools.
This repository demonstrates for using CrewAI with MCP (Model Context Protocol) to interact with external tools and services through a standardized protocol.
Look, a flock of geese! An MCP server and protocol for Goose agent collaboration.
One-command installer for integrating Google NotebookLM with OpenClaw via MCP.
A Python-based trading assistant that connects to a Zerodha MCP server to help users manage their trading account.
A server that ingests and serves Swagger/OpenAPI specifications through the Model Context Protocol (MCP).
Stardust is a desktop AI agent platform that combines a powerful chat interface with an extensible plugin system.
Offline Model Context Protocol (MCP) server that serves Godot Engine API documentation from a local doc/ folder.
gollem provides: - to query prompt to Large Language Model (LLM) services - Generate / Stream: Generate text content from prompt (with per-call option overrides) - GenerateEmbedding: Generate...
Dynamo MCP is a system that exposes cookiecutter templates through the Model Context Protocol (MCP). It allows you to discover, register, and manage cookiecutter templates, and generate projects from...
Model Context Protocol, or MCP, is an open protocol that standardizes how applications provide context to LLMs.
Agent Skills
Collection of components and sections specifically designed for creating landing pages with Nuxt 4 and Nuxt UI.
CLI to manage emails
Clone of nanoclaw in Elixir
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Shared guardrails, skills, and bootstrap scripts for AI coding agents
Turn noisy command output into a short, actionable first pass for coding agents.
Unofficial Python CLI for Google Flow. Drive Veo (image-to-video, text-to-video) and Imagen (text-to-image) from your terminal: scripted, batched, pipeline-ready.
Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth.
Vendor-neutral, persistent project context for AI coding agents. Shared state lives under docs/context/, stays reviewable in Git, and survives chat resets, compaction, and switching agents (Claude...
AI code review that lands on the PR, not in your terminal — GitHub, GitLab, Bitbucket. Learns each repo's conventions: 1 review, 1 fix commit, replies in thread.