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Codex MCP Tool

by x51xxxversion 2.2.0i★ –iRuns on your computer
Registry nameio.github.x51xxx/codex-mcp-tool

Install

Overview

Description from the maker (original English)

MCP server bridging AI assistants to OpenAI Codex CLI for code analysis and review

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: 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: CODEX_MCP_CWD, CODEX_SESSION_TTL_MS, CODEX_MAX_SESSIONS

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-tool": {
      "command": "npx",
      "args": [
        "-y",
        "@trishchuk/codex-mcp-tool"
      ],
      "env": {
        "CODEX_MCP_CWD": "your-value",
        "CODEX_SESSION_TTL_MS": "your-value",
        "CODEX_MAX_SESSIONS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add codex-tool --env CODEX_MCP_CWD=your-value --env CODEX_SESSION_TTL_MS=your-value --env CODEX_MAX_SESSIONS=your-value -- npx -y @trishchuk/codex-mcp-tool

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-tool": {
      "command": "npx",
      "args": [
        "-y",
        "@trishchuk/codex-mcp-tool"
      ],
      "env": {
        "CODEX_MCP_CWD": "your-value",
        "CODEX_SESSION_TTL_MS": "your-value",
        "CODEX_MAX_SESSIONS": "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-tool": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@trishchuk/codex-mcp-tool"
      ],
      "env": {
        "CODEX_MCP_CWD": "your-value",
        "CODEX_SESSION_TTL_MS": "your-value",
        "CODEX_MAX_SESSIONS": "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_MCP_CWD env
    Override working directory for all tool calls
  • CODEX_SESSION_TTL_MS env
    Session time-to-live in milliseconds (default: 86400000 = 24h)
  • CODEX_MAX_SESSIONS env
    Maximum concurrent sessions (default: 50)

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account x51xxx, 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 4912 servers in this category
  • Published to the registry more recently than 7% of the other 4912 servers in this category
  • Basic checks equal to or better than 100% of the other 4912 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 MCP Tool 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 (2.2.0) reached the registry 8 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: GitHub, Desktop Commander, Cloudflare MCP

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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 MCP Server

MCP server connecting Claude/Cursor to Codex CLI. Enables code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

Features

  • File Analysis — Reference files with @src/, @package.json syntax
  • Multi-Turn Sessions — Conversation continuity with workspace isolation
  • Native Resume — Uses codex resume for context preservation (CLI v0.36.0+)
  • Local OSS Models — Run with Ollama or LM Studio via localProvider
  • Web Search — Research capabilities with search: true
  • Sandbox Mode — Safe automation with explicit sandbox and approval policies
  • Change Mode — Structured OLD/NEW patch output for refactoring
  • Brainstorming — SCAMPER, design-thinking, lateral thinking frameworks
  • Health Diagnostics — CLI version, features, and session monitoring
  • Cross-Platform — Windows, macOS, Linux fully supported

Quick Start

claude mcp add codex-cli -- npx -y @trishchuk/codex-mcp-tool

Prerequisites: Node.js 18+, Codex CLI installed and authenticated.

Configuration
{

"mcpServers": { "codex-cli": { "command": "npx", "args": ["-y", "@trishchuk/codex-mcp-tool"] } } }

Config locations: macOS: ~/Library/Application Support/Claude/claude_desktop_config.json | Windows: %APPDATA%\Claude\claude_desktop_config.json

Usage Examples

// File analysis

'explain the architecture of @src/'; 'analyze @package.json and list dependencies';

// With specific model 'use codex with model gpt-5.6-sol to analyze @algorithm.py';

// Multi-turn conversations (v1.4.0+) 'ask codex sessionId:"my-project" prompt:"explain @src/"'; 'ask codex sessionId:"my-project" prompt:"now add error handling"';

// Brainstorming 'brainstorm ways to optimize CI/CD using SCAMPER method';

// Sandbox mode 'use codex sandbox:true to create and run a Python script';

// Web search 'ask codex search:true prompt:"latest TypeScript 5.7 features"';

// Local OSS model (Ollama) 'ask codex localProvider:"ollama" model:"qwen3:8b" prompt:"explain @src/"';

Tools

ToolDescription
ask-codexExecute Codex CLI with files, models, sessions, and safety controls
batch-codexRun multiple atomic Codex tasks sequentially or concurrently
review-changesRun the native non-interactive Codex review command
do-actExecute, verify with a shell command, and retry fixes
image-genGenerate or edit images with Codex's built-in image_gen tool
brainstormGenerate ideas with structured creative frameworks
list-sessionsView, delete, or clear MCP conversation mappings
list-skillsList skills visible from the selected workspace
healthDiagnose CLI installation, version, features, and sessions
fetch-chunkRetrieve a chunk from cached change-mode output
pingTest the MCP connection
helpReturn current codex --help output
versionReport Codex CLI, Node.js, platform, and package versions
timeout-testExercise keepalive and timeout behavior

Image generation

image-gen drives Codex's built-in image_gen tool, so it uses your ChatGPT login and needs no OPENAI_API_KEY. That tool only accepts a prompt and reference image paths: Codex picks the image model and pixel size, and there are no size, quality, format or mask arguments. image-gen therefore puts all steering into a structured prompt (use case, asset type, style, composition, exact text, reference roles, edit invariants, aspect ratio, presets) and tells the Codex host model to relay it instead of improvising.

// New image, 16:9, exact Cyrillic headline, copied into the project

'image-gen prompt:"YouTube cover about AI coding agents" aspect:"wide" text:"АГЕНТИ БЕЗ ХАОСУ" presets:["thumbnail","exact-text"] outputPath:"assets/cover.png"';

// Edit: change only the headline, keep everything else 'image-gen editImage:"assets/cover.png" prompt:"Replace the headline text" text:"ЧАСТИНА 2" preserve:["people and background"] outputPath:"assets/cover.png"';

Images are saved by Codex under $CODEX_HOME/generated_images/ / and copied to outputPath when given; an existing file is kept and the copy is written as a -v2 sibling unless overwrite: true. The result reports each file's dimensions and alpha channel, so a transparentBackground request that came back opaque is flagged.

Models

By default the model parameter is omitted and Codex CLI applies the default model from your ~/.codex/config.toml (for example model = "gpt-6.1-sol"). Pass model only when you need to override the configured default for a single call. Reasoning depth is calibrated per tool:

  • ask-codex — uses the Codex CLI default reasoning (medium). Increase it only when the task needs more planning or checking.
  • brainstorm, do-act, review-changes — default reasoningEffort: "high" (creative ideation, act-check-fix loops, and code review benefit from deeper reasoning).
ModelRecommendation
gpt-6.1-solLatest workhorse for coding and everyday work (CLI 0.159+)
gpt-6-astraFrontier intelligence for the most demanding work
gpt-6-solPrevious-generation workhorse
gpt-6-lunaFast and affordable; easier, repeatable tasks
gpt-5.6-solOlder-generation workhorse
gpt-5.6-terraOlder balanced model for straightforward work
gpt-5.6-lunaOlder fast, efficient model
gpt-5.5Legacy — Codex steers callers to gpt-5.6-sol

Sol, Astra and Terra models expose max and ultra reasoning; Luna models top out at max, and gpt-5.5 at xhigh. ultra may delegate work to subagents; most tasks should remain on medium or high. Pass a concrete slug — the bare moving aliases gpt-6 and gpt-5.6 are rejected by the API. gpt-6.1-sol is rejected by Codex CLI 0.157.x with the same 400 an unknown slug gets; upgrade with npm install -g @openai/codex@latest.

Key Features

Session Management (v1.4.0+)

Multi-turn conversations with workspace isolation:

{ "prompt": "analyze code", "sessionId": "my-session" }

{ "prompt": "continue from here", "sessionId": "my-session" } { "prompt": "start fresh", "sessionId": "my-session", "resetSession": true }

Environment:

  • CODEX_SESSION_TTL_MS - Session TTL (default: 24h)
  • CODEX_MAX_SESSIONS - Max sessions (default: 50)
Codex CLI version

Requires Codex CLI `0.95.0` or newer. On older versions the server fails with an explicit upgrade message rather than silently dropping unsupported flags. Upgrade with npm install -g @openai/codex@latest; run the health tool to see the detected version.

Troubleshooting: "codex not found"

MCP clients launched from a GUI (Dock, Finder, Start menu) inherit a minimal PATH that excludes Homebrew, nvm, and volta directories, so codex may work from a terminal but not from the app. The server searches those locations automatically; if it still cannot find the CLI, pin it explicitly:

{ "env": { "CODEX_CLI_PATH": "/opt/homebrew/bin/codex" } }

Find the value with which codex. Run the health tool to see which executable was resolved and how.

Local OSS Models (v1.6.0+)

Run with local Ollama or LM Studio instead of OpenAI:

// Ollama

{ "prompt": "analyze @src/", "localProvider": "ollama", "model": "qwen3:8b" }

// LM Studio { "prompt": "analyze @src/", "localProvider": "lmstudio", "model": "my-model" }

// Auto-select provider { "prompt": "analyze @src/", "oss": true }

Requirements: Ollama running locally with a model that supports tool calling (e.g. qwen3:8b).

Advanced Options
ParameterDescription
modelModel selection
sessionIdEnable conversation continuity
sandboxCompatibility automation: workspace-write + never
searchEnable web search
changeModeStructured OLD/NEW edits
addDirsAdditional writable directories
toolOutputTokenLimitCap response verbosity (100-10,000)
reasoningEffortlow, medium, high, xhigh, max, ultra
ossUse local OSS model provider
localProviderLocal provider: lmstudio or ollama
strictConfigFail on unknown Codex configuration keys
ephemeralDo not persist Codex session files
ignoreUserConfigIgnore $CODEX_HOME/config.toml
ignoreRulesIgnore execpolicy .rules files

CLI Compatibility

Validated against Codex CLI 0.144.3. The server keeps older feature guards, but current releases are recommended. Notable current behavior:

  • --full-auto and approval policy on-failure have been removed by Codex CLI.
  • MCP sandbox: true / fullAuto: true remain compatibility aliases for --sandbox workspace-write --ask-for-approval never; they do not bypass the sandbox.
  • Native --search is used without the deprecated web_search_request feature.
  • Current exec flags include --strict-config, --ephemeral, --ignore-user-config, and --ignore-rules.

Troubleshooting

codex --version    # Check CLI version

codex login # Authenticate

Use health tool for diagnostics: 'use health verbose:true'

Migration

v2.5.x → v2.6.0: Codex CLI 0.159.2 model sync and a new image-gen tool. Added gpt-6.1-sol (needs Codex CLI 0.159+), gpt-6-sol and gpt-6-luna. Breaking: dropped gpt-5.4-mini, which now returns HTTP 400.

v2.4.x → v2.5.0: Codex CLI 0.153.4 compatibility pass; added gpt-6-astra. Breaking: dropped gpt-5.4 and the moving alias gpt-5.6 (both now rejected with HTTP 400), and removed the untrusted approval policy, which Codex CLI 0.153.x no longer parses.

v2.3.x → v2.4.0: Codex CLI 0.144.3 compatibility audit; added GPT-5.6 Sol/Terra/Luna, max/ultra reasoning, current exec flags, native-only search, and safe compatibility handling for the removed --full-auto flag and on-failure approval policy.

v2.2.x → v2.3.0: gpt-5.5 as new default, added gpt-5.4-mini,

Only the beginning is shown; read the rest in the repo

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