Ask Codex

Name: Ask Codex
Author: Lykhoyda

by Lykhoydaversion 0.9.0i★ –iRuns on your computer

Registry nameio.github.Lykhoyda/ask-codex

Install

Overview

Description from the maker (original English)

Bridge Claude with OpenAI Codex CLI for AI-to-AI collaboration, code review, and second opinions

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Developer tools

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: GMCPT_TIMEOUT_MS, GMCPT_LOG_LEVEL

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "ask-codex": {
      "command": "npx",
      "args": [
        "-y",
        "@ask-llm/codex-mcp"
      ],
      "env": {
        "GMCPT_TIMEOUT_MS": "your-value",
        "GMCPT_LOG_LEVEL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ask-codex --env GMCPT_TIMEOUT_MS=your-value --env GMCPT_LOG_LEVEL=your-value -- npx -y @ask-llm/codex-mcp

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": {
    "ask-codex": {
      "command": "npx",
      "args": [
        "-y",
        "@ask-llm/codex-mcp"
      ],
      "env": {
        "GMCPT_TIMEOUT_MS": "your-value",
        "GMCPT_LOG_LEVEL": "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": {
    "ask-codex": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ask-llm/codex-mcp"
      ],
      "env": {
        "GMCPT_TIMEOUT_MS": "your-value",
        "GMCPT_LOG_LEVEL": "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

GMCPT_TIMEOUT_MS env
Timeout for Codex CLI execution in milliseconds (default: 300000 = 5 minutes)
GMCPT_LOG_LEVEL env
Log verbosity: debug, info, warn, error (default: warn)

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 Lykhoyda, 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 Developer toolsi

More stars than 0% of the other 1386 servers in this category
Published to the registry more recently than 58% of the other 1386 servers in this category
Basic checks equal to or better than 100% of the other 1386 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 Ask Codex 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.9.0) reached the registry 40 days 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: GitHub, Desktop Commander, Cloudflare MCP

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

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GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

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Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

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Install

Cloudflare MCP

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Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago

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.

Ask LLM

Second opinions for coding agents.

Get a second opinion on your code or plan, inside your coding assistant, using the model subscriptions you already have.

For individual developers and small teams who already use a coding assistant and pay for another model subscription: ask a different vendor's model to review your changes or challenge your plan, without API keys, copy-paste, or leaving the session.

You:    ask codex to review src/auth.ts for security issues

Codex: ⚠ verifyToken() compares tokens with === — not timing-safe (line 42) ⚠ the session cookie is missing a SameSite attribute Claude: Good catches — applying both fixes to src/auth.ts.

Install

You need Node.js 24+ on Linux or macOS. Before your first review, both your coding assistant (for example Claude Code) and the provider you will consult (for example Codex) must be installed and signed in. Ask LLM configures the connection; it does not install providers or sign you in. If a provider CLI such as Codex has never been signed in on this machine, sign in first and rerun setup.

npm i -g @ask-llm/mcp && ask-llm setup

Setup asks you to confirm each detected host and workflow. Inspect the preview, confirm your assistant's registration and workflows, decline the others, then follow any printed manual steps. Restart your assistant or start a new session in your project.

Your first review

With both Claude Code and Codex installed and signed in, open Claude Code in your project and ask:

Ask Codex to review my staged changes for bugs and missing error handling. Check each finding against the source before proposing fixes.

Working in Codex with a Claude subscription? Ask Claude instead. Choose a provider from a different vendor than your current assistant. A successful review names the reviewer and model, cites relevant code, and reports findings or says it found none. Your assistant applies changes after you decide what to accept. If the request fails, run ask-llm doctor and follow the troubleshooting guide for your selected assistant and reviewer. Warnings about providers you do not use do not require installing them or adding API keys.

For plans, try: “Ask Claude to challenge this plan: what assumptions could fail, and what simpler approach would fit our constraints?”

After an on-demand review, pair review can add ongoing feedback. Pairing requires explicit opt-in; setup leaves it off. Grok CLI supports a per-edit hook with Codex Sol by default or Claude Opus 5.5 via reviewer: claude; shell reviews cover command text only.

Supported hosts

A host is the assistant you work in; a provider is the model you consult.

Host	Experience
Claude Code	Reviews, plan critique, comparisons; isolated reviewers and opt-in per-edit pairing
Codex, Cursor, Gemini CLI	Tools and portable workflows; pairing on demand
Grok Build	Tools and portable workflows; opt-in per-edit pairing
Antigravity	Tools; setup prints a manual step for workflows
Pi 0.83.0+	Native tools and portable workflows; opt-in per-edit pairing
Claude Desktop	Tools only
OpenCode	Tools and portable workflows; setup verified with fixtures only

See host compatibility for the complete matrix and manual setup limits, including existing Codex registrations.

Supported providers

Provider	Access
Codex	Your authenticated Codex CLI/account
Claude	Your authenticated Claude Code account; consult it from a host other than Claude Code
Grok	Authenticated Grok Build, an exact Cursor model, or the explicit metered xAI API option
Antigravity	Your authenticated agy subscription; execution is off by default, and opt-in has no read-only guarantee
Ollama	Local models on your machine
Gemini	An eligible Gemini Code Assist Standard/Enterprise seat

Cursor Agent can also consult exact models from your Cursor catalog. It is a connection route, with usage governed by your Cursor plan.

Trust and cost

Review runs use read-only provider controls; the assistant you work in remains the editor. Antigravity refuses execution until explicitly enabled and cannot guarantee read-only access after opt-in. Review only material you are allowed to share with the selected provider.

Calls consume your existing provider plan's quota or follow that account's billing. Grok's xAI API is a separate, metered option requiring an API key; Ask LLM never enables billing or overage for you. Ollama supports local inference. Ask LLM sends no telemetry; provider and host data policies still apply.

Agreement between models is not proof of correctness. Validate findings against the code, tests, and your requirements. See data flow and costs and fallbacks.

Migrating from @ask-llm/*

Follow the migration guide before retiring earlier registrations.

Upgrade or remove · Troubleshooting · Documentation

Contributions: CONTRIBUTING.md. Licensed under MIT.

Ask Codex

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Ask LLM

Install

Your first review

Supported hosts

Supported providers

Trust and cost

Migrating from @ask-llm/*