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@runapi.ai/gpt-4o-image-mcp

@runapi.ai/gpt-4o-image-mcp

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by runapi-ai
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Why This Package?

@runapi.ai/gpt-4o-image-mcp is a focused Model Context Protocol server for the GPT-4o Image model line on RunAPI. It gives MCP-compatible assistants direct access to 1 endpoint and 1 model variant without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to GPT-4o Image. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.

Related MCP server: @runapi.ai/gpt-image-2-mcp

Install

Add it to Claude Code:

claude mcp add gpt-4o-image -s user -- npx -y @runapi.ai/gpt-4o-image-mcp

Use project scope when the server should be shared with a repository:

claude mcp add gpt-4o-image -s project -- npx -y @runapi.ai/gpt-4o-image-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "gpt-4o-image": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/gpt-4o-image-mcp"]
    }
  }
}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.

Tools

Tool

Auth

Purpose

text_to_image

Yes

Create a GPT-4o Image text to image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.

get_task

Yes

Fetch the current status and latest payload for an existing task.

check_pricing

No

Look up current pricing for a GPT-4o Image model and endpoint.

Models

GPT-4o Image covers 1 model variant across 1 endpoint. Each tool accepts the models listed for it:

Tool

Models

text_to_image

gpt-4o-image

Model availability can change between releases. Use check_pricing or the GPT-4o Image model page for the current catalog view.

Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

Run a GPT-4o Image text to image task with RunAPI.

The assistant can call check_pricing, then text_to_image, and return the task id, status, and output URLs.

Submit without waiting

Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

Check current GPT-4o Image pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the GPT-4o Image model page for the canonical catalog entry.

Configuration

The server resolves auth in this order:

  1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts

  2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login

  3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.

Links

Resource

URL

GPT-4o Image model page

https://runapi.ai/models/gpt-4o-image

npm package

@runapi.ai/gpt-4o-image-mcp

GitHub repository

runapi-ai/gpt-4o-image-mcp

RunAPI MCP overview

runapi.ai/mcp

RunAPI docs

runapi.ai/docs

License

Licensed under the Apache License, Version 2.0.

Available Tools

4 tools
check_pricingC

Look up RunAPI pricing for the gpt-4o-image model line.

Inputs: model, action.

get_taskA

Fetch the current status and latest result payload for a gpt-4o-image task.

Inputs: task_id (required), action.

loginA

Authenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.

Inputs: force.

text_to_imageB

Create a GPT-4o Image task on RunAPI (text to image). Returns a task id, status, and output URLs.

Inputs: aspect_ratio (required), wait, model, prompt, +7 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct action: text_to_image creates a generation task, get_task polls status/result, check_pricing is a read-only info lookup, and login handles auth. There is no overlap and an agent can trivially tell them apart.

    Naming Consistency4/5

    text_to_image, get_task, and check_pricing roughly follow a verb/noun style, while login is a bare verb. Mostly consistent with one minor deviation.

    Tool Count4/5

    Four tools is a reasonable, well-scoped set for a single-model image service: one generation, one polling, plus pricing and auth support. It is slightly thin but nothing is redundant.

    Completeness3/5

    The core create-and-poll workflow is covered, but the surface lacks common image operations such as image-to-image/editing, variations, listing tasks, or cancellation. These are notable gaps for a GPT-4o image line.

    Maintenance

    ActivityMaintained
    ResponsivenessOutdated data

    Resources

    Related MCP Connectors

    Related MCP Servers