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.
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`](https://github.com/runapi-ai/mcp) when one assistant should discover every RunAPI model line. --- ## Install Add it to Claude Code: ```bash claude mcp add midjourney -s user -- npx -y @runapi.ai/midjourney-mcp ``` Use project scope when the server should be shared with a repository: ```bash 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: ```json { "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/`](examples/) for Claude, Cursor, Windsurf, VS Code, and Roo Code. --- ## Tools | Tool | Auth | Purpose | |---|---|---| | `edit_image` | Yes | Create a Midjourney edit image task and optionally wait for a terminal status. Returns the task id, status, and output URLs. | | `extend_video` | Yes | Create a Midjourney extend video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. | | `get_seed` | Yes | Run a Midjourney get seed operation synchronously. Returns the operation result. | | `image_to_prompt` | Yes | Run a Midjourney image to prompt operation synchronously. Returns the operation result. | | `image_to_video` | Yes | Create a Midjourney image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. | | `shorten_prompt` | Yes | Run a Midjourney shorten prompt operation synchronously. Returns the operation result. | | `text_to_image` | Yes | Create a Midjourney 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 Midjourney model and endpoint. | --- ## Models Midjourney covers 3 model variants across 7 endpoints. Each tool accepts the models listed for it: | Tool | Models | |---|---| | `edit_image` | `midjourney-edit-image` | | `extend_video` | `midjourney-image-to-video` | | `get_seed` | _no model parameter_ | | `image_to_prompt` | _no model parameter_ | | `image_to_video` | `midjourney-image-to-video` | | `shorten_prompt` | _no model parameter_ | | `text_to_image` | `midjourney-v8.1` | Model availability can change between releases. Use `check_pricing` or the [Midjourney model page](https://runapi.ai/models/midjourney) 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 ```text 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 ```text 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 ```text 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](https://runapi.ai/models/midjourney) 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: ```json { "apiKey": "your_runapi_key" } ``` Do not commit real API keys. --- ## Links | Resource | URL | |---|---| | Midjourney model page | [https://runapi.ai/models/midjourney](https://runapi.ai/models/midjourney) | | npm package | [@runapi.ai/midjourney-mcp](https://www.npmjs.com/package/@runapi.ai/midjourney-mcp) | | GitHub repository | [runapi-ai/midjourney-mcp](https://github.com/runapi-ai/midjourney-mcp) | | RunAPI MCP overview | [runapi.ai/mcp](https://runapi.ai/mcp) | | RunAPI docs | [runapi.ai/docs](https://runapi.ai/docs) | --- ## License Licensed under the [Apache License, Version 2.0](LICENSE).