RunAPI GPT Image MCP Server
GPT Image API access for AI agents: run image generation operations, poll asynchronous results, and check pricing through one focused MCP server.
Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.
Install |
Tools |
Models |
Agent Prompts |
Configuration |
Links
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.
Install
Add it to Claude Code:
claude mcp add gpt-image -s user -- npx -y @runapi.ai/gpt-image-mcp
Use project scope when the server should be shared with a repository:
claude mcp add gpt-image -s project -- npx -y @runapi.ai/gpt-image-mcp
Codex, 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.
| Tool | Auth | Purpose |
|---|
edit_image | Yes | Create a GPT Image edit image task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
text_to_image | Yes | Create a GPT 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 Image model and endpoint. |
Models
GPT Image covers 1 model variant across 2 endpoints. Each tool accepts the models listed for it:
| Tool | Models |
|---|
edit_image | gpt-image-1.5 |
text_to_image | gpt-image-1.5 |
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_KEY environment variable, useful for headless and CI hosts~/.config/runapi/config.json, created by the MCP login tool or runapi login- 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
License
Licensed under the Apache License, Version 2.0.