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@runapi.ai/midjourney-mcp

RunAPI Midjourney MCP server for image and video generation: create tasks, poll results, and check pricing across 3 model variants from Claude Code, Codex, Cursor, and VS Code.

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RunAPI Midjourney MCP Server

Midjourney API access for AI agents: run image and video 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.

npm version GitHub repository Apache-2.0 license MCP Server 3 models

Install | Tools | Models | Agent Prompts | Configuration | Links

Why This Package?

@runapi.ai/midjourney-mcp is a focused Model Context Protocol server for the Midjourney model line on RunAPI. It gives MCP-compatible assistants direct access to 7 endpoints and 3 model variants without loading the full RunAPI catalog.

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

Install

Add it to Claude Code:

claude mcp add midjourney -s user -- npx -y @runapi.ai/midjourney-mcp

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

claude mcp add midjourney -s project -- npx -y @runapi.ai/midjourney-mcp

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

{
  "mcpServers": {
    "midjourney": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/midjourney-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

ToolAuthPurpose
edit_imageYesCreate a Midjourney edit image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
extend_videoYesCreate a Midjourney extend video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
get_seedYesRun a Midjourney get seed operation synchronously. Returns the operation result.
image_to_promptYesRun a Midjourney image to prompt operation synchronously. Returns the operation result.
image_to_videoYesCreate a Midjourney image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
shorten_promptYesRun a Midjourney shorten prompt operation synchronously. Returns the operation result.
text_to_imageYesCreate a Midjourney text to image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
get_taskYesFetch the current status and latest payload for an existing task.
check_pricingNoLook up current pricing for a Midjourney model and endpoint.

Models

Midjourney covers 3 model variants across 7 endpoints. Each tool accepts the models listed for it:

ToolModels
edit_imagemidjourney-edit-image
extend_videomidjourney-image-to-video
get_seedno model parameter
image_to_promptno model parameter
image_to_videomidjourney-image-to-video
shorten_promptno model parameter
text_to_imagemidjourney-v8.1

Model availability can change between releases. Use check_pricing or the Midjourney 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 Midjourney 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 Midjourney pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Midjourney 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.

ResourceURL
Midjourney model pagehttps://runapi.ai/models/midjourney
npm package@runapi.ai/midjourney-mcp
GitHub repositoryrunapi-ai/midjourney-mcp
RunAPI MCP overviewrunapi.ai/mcp
RunAPI docsrunapi.ai/docs

License

Licensed under the Apache License, Version 2.0.

Keywords

runapi

FAQs

Package last updated on 31 Jul 2026

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