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Codex Octopus

@xiaolai

关于 Codex Octopus

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.

基本信息

分类

其他

传输方式

stdio

发布者

xiaolai

提交者

xiaolai

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

FAQ from Codex Octopus

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.

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.

Can I have ongoing conversations with an agent?

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

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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