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Codex / OpenAI Image MCP Server

by meet30997 Your server? Claim it
local only

Codex / OpenAI Image runs on your own machine — the client starts it, so there is no endpoint to ping. 686 installs a week from npm. Last commit 30 Oct 2026.

Generate, edit and make matching sets of images with the Codex CLI or the OpenAI Images API

Installs per day peak 597 · avg 19
a month agotoday
686
Installs / week
npm · codex-openai-image-mcp
1
Stars
0 open issues
30 Oct 2026
Last commit
4 releases in 90 days
MIT
License
TypeScript

What the code does

We read the source, 2 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs an external command src/providers/codex.ts:186
  const child = spawn(opts.bin, args, {

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add codex-openai-image-mcp -e 'IMAGEGEN_PROVIDER=<IMAGEGEN_PROVIDER>' -- npx -y codex-openai-image-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "codex-openai-image-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "codex-openai-image-mcp"
      ],
      "env": {
        "IMAGEGEN_PROVIDER": "<IMAGEGEN_PROVIDER>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.codex-openai-image-mcp]
command = "npx"
args = ["-y", "codex-openai-image-mcp"]
env = { IMAGEGEN_PROVIDER = "<IMAGEGEN_PROVIDER>" }
.cursor/mcp.json
{
  "mcpServers": {
    "codex-openai-image-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "codex-openai-image-mcp"
      ],
      "env": {
        "IMAGEGEN_PROVIDER": "<IMAGEGEN_PROVIDER>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "codex-openai-image-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "codex-openai-image-mcp"
      ],
      "env": {
        "IMAGEGEN_PROVIDER": "<IMAGEGEN_PROVIDER>"
      }
    }
  }
}

Put your own value in place of <IMAGEGEN_PROVIDER> (Image backend: codex-cli (your ChatGPT plan via the Codex CLI), openai-api, or mock). The author’s registry entry marks it as required.

Optional settings from the registry entry, left out of the block above: OPENAI_API_KEY (OpenAI API key, only needed for the openai-api backend), IMAGEGEN_OUT_DIR (Folder for generated images, relative to the working folder (default generated-images)).

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Codex / OpenAI Image — questions

Answers built from our own checks of this server.

Why is there no uptime for Codex / OpenAI Image?
Codex / OpenAI Image runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package codex-openai-image-mcp was installed 686 times last week.
How do I connect Codex / OpenAI Image?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls codex-openai-image-mcp straight from npm; nothing to host, nothing to sign up for.
How many people use Codex / OpenAI Image?
The npm package codex-openai-image-mcp was installed 686 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Codex / OpenAI Image open source?
Yes — it is published under the MIT licence, written in TypeScript and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.