GPT Image MCP Server
This server provides AI agents with focused access to GPT Image generation capabilities via RunAPI, supporting image creation, editing, task management, and pricing lookups.
text_to_image: Generate images from a text prompt using thegpt-image-1.5model, with control over quality (mediumorhigh) and aspect ratio (1:1,2:3, or3:2).edit_image: Submit source image URLs along with a prompt to produce edited/modified images, with the same quality and aspect ratio options.get_task: Fetch the current status and result payload for a previously created task using its task ID.check_pricing: Retrieve the current pricing snapshot for the GPT Image model line, optionally filtered by model variant or endpoint.
Additional options:
Both
text_to_imageandedit_imagesupport awaitparameter — set totrueto poll until the task completes and receive output URLs immediately, orfalseto get just the task ID and check back later.Polling behavior is configurable via
timeout_msandpoll_interval_msparameters.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GPT Image MCP ServerCreate a text-to-image of a futuristic city skyline."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Why This Package?
@runapi.ai/gpt-image-mcp is a focused Model Context Protocol server for the GPT Image model line on RunAPI.
It gives MCP-compatible assistants direct access to 2 endpoints and 1 model variant without loading the full RunAPI catalog.
Use this per-model server when an agent should stay scoped to GPT Image. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.
Related MCP server: grok-imagine-mcp
Install
Add it to Claude Code:
claude mcp add gpt-image -s user -- npx -y @runapi.ai/gpt-image-mcpUse project scope when the server should be shared with a repository:
claude mcp add gpt-image -s project -- npx -y @runapi.ai/gpt-image-mcpCodex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
{
"mcpServers": {
"gpt-image": {
"command": "npx",
"args": ["-y", "@runapi.ai/gpt-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 |
| Yes | Create a GPT Image edit image task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
| Yes | Create a GPT Image text to image task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
| Yes | Fetch the current status and latest payload for an existing task. |
| No | Look up the current pricing snapshot for a GPT Image model and endpoint. |
Models
GPT Image covers 1 model variant across 2 endpoints. Each tool accepts the models listed for it:
Tool | Models |
|
|
|
|
Model availability can change between releases. Use check_pricing or the GPT 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 Image edit image task with RunAPI.The assistant can call check_pricing, then edit_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 Image pricing, then create the task if it matches my request.The assistant calls check_pricing and can link to the GPT Image model page for the canonical catalog entry.
Configuration
The server resolves auth in this order:
RUNAPI_API_KEYenvironment variable, useful for headless and CI hosts~/.config/runapi/config.json, created by the MCPlogintool orrunapi loginNo 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 Image model page | |
npm package | |
GitHub repository | |
RunAPI MCP overview | |
RunAPI docs |
License
Licensed under the Apache License, Version 2.0.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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