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Claude Octopus MCP Server

@xiaolai

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

xiaolai

投稿者

xiaolai

Claude Octopus MCP Server について

One brain, many arms. Spawn multiple specialized Claude Code agents as MCP servers via the Agent SDK. Each instance gets its own model, tools, prompt, and personality.

#claude-code#agent-sdk#multi-agent#mcp-server

Claude Octopus MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "claude": {
      "command": "npx",
      "args": [
        "claude-octopus"
      ],
      "env": {
        "CLAUDE_PERMISSION_MODE": "bypassPermissions"
      }
    }
  }
}

Claude Octopus MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Claude Octopus?

An MCP server that wraps the Claude Agent SDK, allowing you to run multiple specialized Claude Code agents—each with its own model, tools, system prompt, and personality—from any MCP client.

How to use Claude Octopus?

Install via npm and configure as an MCP server using the JSON snippet shown, setting the environment variable CLAUDE_PERMISSION_MODE to bypassPermissions. Then invoke agents with your desired configuration.

Key features of Claude Octopus

  • Multi-instance: run several agents with different configs simultaneously
  • 18 env vars for model, tools, effort, permissions, plugins, prompts
  • Per-invocation overrides for model, tools, effort, permissions
  • Session continuity via _reply tool for follow-up conversations
  • Factory wizard to generate .mcp.json configs interactively
  • Hot-configurable: plugins, effort, permissions adjustable per invocation

Use cases of Claude Octopus

  • A strict code reviewer that only reads files
  • A test writer that defaults to TDD
  • A cheap quick helper on the Haiku model
  • A deep thinker on the Opus model

よくある質問

1

How is Claude Octopus different from a single Claude Code instance?

Claude Octopus lets you run multiple specialized agents simultaneously, each with its own model, tools, and configuration, instead of one instance doing everything the same way.

2

What configurations can I customize per agent?

You can customize model, tools, effort, permissions, plugins, system prompts, and more via 18 environment variables or per-invocation overrides.

3

Can I use different models for different agents?

Yes, you can specify a different model per agent, such as Haiku for quick tasks and Opus for deep thinking.

4

How do I follow up on a previous conversation?

Use the `_reply` tool to continue a previous session, enabling follow-up conversations.

5

How do I generate configuration files?

Run the factory wizard to interactively generate `.mcp.json` configurations.

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