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Codex Octopus MCP Server

@xiaolai

代码仓库

基本信息

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stdio

作者

xiaolai

提交者

xiaolai

关于 Codex Octopus MCP Server

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 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"
      }
    }
  }
}

Codex Octopus MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

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

常见问题

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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