Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Codex Octopus

by xiaolaiversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.xiaolai/codex-octopus

Install

Overview

Description from the maker (original English)

Spawn multiple specialized Codex agents as MCP servers, each independently configured.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: CODEX_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: CODEX_API_KEY, CODEX_TOOL_NAME, CODEX_MODEL, CODEX_SANDBOX_MODE, CODEX_APPROVAL_POLICY, CODEX_APPEND_INSTRUCTIONS, CODEX_FACTORY_ONLY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "codex-octopus": {
      "command": "npx",
      "args": [
        "-y",
        "codex-octopus"
      ],
      "env": {
        "CODEX_API_KEY": "your-value",
        "CODEX_TOOL_NAME": "your-value",
        "CODEX_MODEL": "your-value",
        "CODEX_SANDBOX_MODE": "your-value",
        "CODEX_APPROVAL_POLICY": "your-value",
        "CODEX_APPEND_INSTRUCTIONS": "your-value",
        "CODEX_FACTORY_ONLY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add codex-octopus --env CODEX_API_KEY=your-value --env CODEX_TOOL_NAME=your-value --env CODEX_MODEL=your-value --env CODEX_SANDBOX_MODE=your-value --env CODEX_APPROVAL_POLICY=your-value --env CODEX_APPEND_INSTRUCTIONS=your-value --env CODEX_FACTORY_ONLY=your-value -- npx -y codex-octopus

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "codex-octopus": {
      "command": "npx",
      "args": [
        "-y",
        "codex-octopus"
      ],
      "env": {
        "CODEX_API_KEY": "your-value",
        "CODEX_TOOL_NAME": "your-value",
        "CODEX_MODEL": "your-value",
        "CODEX_SANDBOX_MODE": "your-value",
        "CODEX_APPROVAL_POLICY": "your-value",
        "CODEX_APPEND_INSTRUCTIONS": "your-value",
        "CODEX_FACTORY_ONLY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "codex-octopus": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "codex-octopus"
      ],
      "env": {
        "CODEX_API_KEY": "your-value",
        "CODEX_TOOL_NAME": "your-value",
        "CODEX_MODEL": "your-value",
        "CODEX_SANDBOX_MODE": "your-value",
        "CODEX_APPROVAL_POLICY": "your-value",
        "CODEX_APPEND_INSTRUCTIONS": "your-value",
        "CODEX_FACTORY_ONLY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • CODEX_API_KEY secret env
    OpenAI API key (leave unset to inherit from parent process)
  • CODEX_TOOL_NAME env
    Tool name prefix (default: codex)
  • CODEX_MODEL env
    Model: gpt-5-codex, o3, codex-1, or full ID
  • CODEX_SANDBOX_MODE env
    Sandbox: read-only, workspace-write, danger-full-access
  • CODEX_APPROVAL_POLICY env
    Approval: never, on-failure, on-request, untrusted
  • CODEX_APPEND_INSTRUCTIONS env
    Additional instructions appended to the default
  • CODEX_FACTORY_ONLY env
    Set to true to expose only the factory wizard tool

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account xiaolai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32466 servers in this category
  • Published to the registry more recently than 5% of the other 32466 servers in this category
  • Basic checks equal to or better than 100% of the other 32466 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Codex Octopus safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: CODEX_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, HotCodePush

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

HotCodePush

by hotcodepush-team

Manage over-the-air (OTA) updates for React Native, Expo, Capacitor and Cordova apps.

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Codex Octopus

One brain, many arms.

An MCP server that wraps the OpenAI Codex SDK, letting you run multiple specialized Codex agents — each with its own model, sandbox, effort, and personality — from any MCP client.

Why

Codex is powerful. But one instance does everything the same way. Sometimes you want a strict code reviewer in read-only sandbox. A test writer with workspace-write access. A cheap quick helper on minimal effort. A deep thinker on xhigh.

Codex Octopus lets you spin up as many of these as you need. Same binary, different configurations. Each one shows up as a separate tool in your MCP client.

Prerequisites

  • Node.js >= 18
  • Codex CLI — the Codex SDK spawns the Codex CLI under the hood, so you need it installed (@openai/codex)
  • OpenAI API key (CODEX_API_KEY env var) or inherited from parent process

Install

npm install codex-octopus

Or use npx directly in your .mcp.json (see Quick Start below).

Quick Start

Add to your .mcp.json:

{

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

This gives you two tools: codex and codex_reply. That's it — you have Codex as a tool.

Multiple Agents

The real power is running several instances with different configurations:

{

"mcpServers": { "code-reviewer": { "command": "npx", "args": ["codex-octopus@latest"], "env": { "CODEX_TOOL_NAME": "code_reviewer", "CODEX_SERVER_NAME": "code-reviewer", "CODEX_DESCRIPTION": "Strict code reviewer. Read-only sandbox.", "CODEX_MODEL": "o3", "CODEX_SANDBOX_MODE": "read-only", "CODEX_APPEND_INSTRUCTIONS": "You are a strict code reviewer. Report real bugs, not style preferences.", "CODEX_EFFORT": "high" } }, "test-writer": { "command": "npx", "args": ["codex-octopus@latest"], "env": { "CODEX_TOOL_NAME": "test_writer", "CODEX_SERVER_NAME": "test-writer", "CODEX_DESCRIPTION": "Writes thorough tests with edge case coverage.", "CODEX_MODEL": "gpt-5-codex", "CODEX_SANDBOX_MODE": "workspace-write", "CODEX_APPEND_INSTRUCTIONS": "Write tests first. Cover edge cases. TDD." } }, "quick-qa": { "command": "npx", "args": ["codex-octopus@latest"], "env": { "CODEX_TOOL_NAME": "quick_qa", "CODEX_SERVER_NAME": "quick-qa", "CODEX_DESCRIPTION": "Fast answers to quick coding questions.", "CODEX_EFFORT": "minimal" } } } }

Your MCP client now sees three distinct tools — code_reviewer, test_writer, quick_qa — each purpose-built.

Agent Factory

Don't want to write configs by hand? Add a factory instance:

{

"mcpServers": { "agent-factory": { "command": "npx", "args": ["codex-octopus@latest"], "env": { "CODEX_FACTORY_ONLY": "true", "CODEX_SERVER_NAME": "agent-factory" } } } }

This exposes a single create_codex_mcp tool — an interactive wizard. Tell it what you want ("a strict code reviewer with read-only sandbox") and it generates the .mcp.json entry for you.

Tools

Each non-factory instance exposes:

ToolPurpose
Send a task to the agent, get a response + thread_id
_replyContinue a previous conversation by thread_id

Per-invocation parameters (override server defaults):

ParameterDescription
promptThe task or question (required)
cwdWorking directory override
modelModel override
additionalDirsExtra directories the agent can access
effortReasoning effort (minimal to xhigh)
sandboxModeSandbox override (can only tighten, never loosen)
approvalPolicyApproval override (can only tighten, never loosen)
networkAccessEnable network access from sandbox
webSearchModeWeb search: disabled, cached, live
instructionsAdditional instructions (prepended to prompt)

Configuration

All configuration is via environment variables in .mcp.json. Every env var is optional.

Identity
Env VarDescriptionDefault
CODEX_TOOL_NAMETool name prefix ( and _reply)codex
CODEX_DESCRIPTIONTool description shown to the host AIgeneric
CODEX_SERVER_NAMEMCP server name in protocol handshakecodex-octopus
CODEX_FACTORY_ONLYOnly expose the factory wizard toolfalse
Agent
Env VarDescriptionDefault
CODEX_MODELModel (gpt-5-codex, o3, codex-1, etc.)SDK default
CODEX_CWDWorking directoryprocess.cwd()
CODEX_SANDBOX_MODEread-only, workspace-write, danger-full-accessread-only
CODEX_APPROVAL_POLICYnever, on-failure, on-request, untrustedon-failure
CODEX_EFFORTminimal, low, medium, high, xhighSDK default
CODEX_ADDITIONAL_DIRSExtra directories (comma-separated)none
CODEX_NETWORK_ACCESSAllow network from sandboxfalse
CODEX_WEB_SEARCHdisabled, cached, livedisabled
Instructions
Env VarDescription
CODEX_INSTRUCTIONSReplaces the default instructions
CODEX_APPEND_INSTRUCTIONSAppended to the default (usually what you want)
Advanced
Env VarDescription
CODEX_PERSIST_SESSIONtrue/false — enable session resume (default: true)
Authentication
Env VarDescriptionDefault
CODEX_API_KEYOpenAI API key for this agentinherited from parent

Security

  • Sandbox defaults to `read-only` — the agent can't write files unless you explicitly set workspace-write or danger-full-access.
  • `cwd` overrides preserve agent knowledge — when the host overrides cwd, the agent's configured base directory is automatically added to additionalDirectories.
  • Security overrides narrow, never widen — per-invocation sandboxMode and approvalPolicy can only tighten (e.g., workspace-write → read-only), never loosen.
  • `_reply` tool respects persistence — not registered when CODEX_PERSIST_SESSION=false.
  • API keys are redacted — the factory wizard never exposes CODEX_API_KEY in generated configs.

Architecture

┌─────────────────────────────────┐

│ MCP Client │ │ (Claude Desktop, Cursor, etc.) │ │ │ │ Sees: code_reviewer, │ │ test_writer, quick_qa │ └──────────┬──────────────────────┘ │ JSON-RPC / stdio ┌──────────▼──────────────────────┐ │ Codex Octopus (per instance) │ │ │ │ Env: CODEX_MODEL=o3 │ │ CODEX_SANDBOX_MODE=... │ │ CODEX_APPEND_INSTRUCTIONS │ │ │ │ Calls: Codex SDK thread.run() │ └──────────┬──────────────────────┘ │ in-process ┌──────────▼──────────────────────┐ │ Codex SDK → Codex CLI │ │ Runs autonomously: reads files,│ │ writes code, runs commands │ │ Returns result + thread_id │ └─────────────────────────────────┘

Known Limitations

  • `minimal` effort + web_search: OpenAI does not allow web_search tools with minimal reasoning effort. Use low or higher if web search is needed.

Development

pnpm install

pnpm build # compile TypeScript pnpm test # run tests (vitest) pnpm test:coverage # coverage report

License

ISC - Xiaolai Li

Ask PopNx