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Codex Octopus MCP Server

@xiaolai

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stdio

作者

xiaolai

投稿者

xiaolai

Codex Octopus MCP Server について

One brain, many arms. Spawn multiple specialized Codex agents as MCP servers via the OpenAI Codex SDK. Each instance gets its own model, sandbox, effort, and personality.

#codex#openai#multi-agent#mcp-server#codex-sdk

Codex 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": {
    "codex": {
      "command": "npx",
      "args": [
        "codex-octopus"
      ],
      "env": {
        "CODEX_SANDBOX_MODE": "workspace-write",
        "CODEX_APPROVAL_POLICY": "never"
      }
    }
  }
}

Codex 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 Codex Octopus?

Codex Octopus is an MCP server that wraps the OpenAI Codex SDK, enabling you to run multiple specialized Codex agents from any MCP client. Each agent can have its own model, sandbox, effort, and personality.

How to use Codex Octopus?

Configure it in your MCP client with the command npx codex-octopus and set environment variables like CODEX_SANDBOX_MODE and CODEX_APPROVAL_POLICY. You can also use the factory wizard to generate .mcp.json configs interactively.

Key features of Codex Octopus

  • Run several agents with different configurations simultaneously
  • Override model, sandbox, effort, approval policy, and cwd per invocation
  • Follow up on previous conversations via the _reply tool
  • Generate .mcp.json configs interactively with the factory wizard
  • Sandbox and approval modes only tighten per invocation for security

Use cases of Codex Octopus

  • A strict code reviewer operating in a read-only sandbox
  • A test writer with workspace‑write access to generate tests
  • A cheap quick helper running on minimal effort
  • A deep thinker using maximum effort for complex tasks

よくある質問

1

What does Codex Octopus do that a single Codex instance cannot?

It lets you run multiple specialized Codex agents simultaneously, each with its own model, sandbox, effort, and personality, all from any MCP client.

2

How do I configure agents with different behaviors?

You can set environment variables like `CODEX_SANDBOX_MODE` and `CODEX_APPROVAL_POLICY`, or use per-invocation overrides for model, sandbox, effort, and more.

3

Can I have ongoing conversations with an agent?

Yes, the `_reply` tool provides session continuity, allowing you to follow up on previous interactions.

4

Is there a way to generate the configuration for an agent interactively?

Yes, the factory wizard generates `.mcp.json` configs interactively, guiding you through the setup process.

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