hailuo-mcp
A focused MCP server for generating videos using Hailuo AI models via the RunAPI platform. It provides four core capabilities:
Create text-to-video tasks (
text_to_video): Generate a video from a text prompt using Hailuo text-to-video models (hailuo-02-text-to-video-pro,hailuo-02-text-to-video-standard), with configurable duration and optional polling until completion.Create image-to-video tasks (
image_to_video): Submit an image and generate a video using Hailuo image-to-video models (e.g.,hailuo-02-image-to-video-pro/standard,hailuo-2.3-image-to-video-pro/standard), with options for duration (6 or 10 seconds), output resolution (512p, 768p, 1080p), and first/last frame image URLs.Monitor task status (
get_task): Retrieve the current status and results (including output URLs) for any previously submitted task using its task ID.Check pricing (
check_pricing): Look up current pricing for any Hailuo model and endpoint without requiring an API key, covering all model variants across both text-to-video and image-to-video endpoints.
Click on "Deploy 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., "@hailuo-mcp generate a video of a sunset over mountains"
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/hailuo-mcp is a focused Model Context Protocol server for the Hailuo model line on RunAPI.
It gives MCP-compatible assistants direct access to 2 endpoints and 6 model variants without loading the full RunAPI catalog.
Use this per-model server when an agent should stay scoped to Hailuo. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.
Related MCP server: @runapi.ai/gemini-omni-mcp
Install
Add it to Claude Code:
claude mcp add hailuo -s user -- npx -y @runapi.ai/hailuo-mcpUse project scope when the server should be shared with a repository:
claude mcp add hailuo -s project -- npx -y @runapi.ai/hailuo-mcpCodex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
{
"mcpServers": {
"hailuo": {
"command": "npx",
"args": ["-y", "@runapi.ai/hailuo-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 Hailuo image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| Yes | Create a Hailuo text to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| Yes | Fetch the current status and latest payload for an existing task. |
| No | Look up current pricing for a Hailuo model and endpoint. |
Models
Hailuo covers 6 model variants across 2 endpoints. Each tool accepts the models listed for it:
Tool | Models |
|
|
|
|
Model availability can change between releases. Use check_pricing or the Hailuo 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 Hailuo image to video task with RunAPI.The assistant can call check_pricing, then image_to_video, 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 Hailuo pricing, then create the task if it matches my request.The assistant calls check_pricing and can link to the Hailuo 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 |
Hailuo model page | |
npm package | |
GitHub repository | |
RunAPI MCP overview | |
RunAPI docs |
License
Licensed under the Apache License, Version 2.0.
Available Tools
5 toolscheck_pricingC
Look up RunAPI pricing for the hailuo model line.
Inputs: model, action.
get_taskB
Fetch the current status and latest result payload for a hailuo task.
Inputs: action (required), task_id (required).
image_to_videoB
Create a Hailuo task on RunAPI (image to video). Returns a task id, status, and output URLs.
Inputs: first_frame_image_url (required), wait, model, prompt, +8 more.
loginA
Authenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
Inputs: force.
text_to_videoB
Create a Hailuo task on RunAPI (text to video). Returns a task id, status, and output URLs.
Inputs: wait, model, prompt, timeout_ms, +5 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: two generation tools differ by input modality (image_to_video vs text_to_video), get_task handles retrieval, and login/check_pricing are distinct utilities. There is no meaningful overlap that would cause misselection.
Almost all tools use snake_case with a verb_noun or noun_to_noun structure (check_pricing, image_to_video, text_to_video, get_task), which is readable and consistent. 'login' is a bare verb that breaks the noun pattern slightly, but this is a conventional deviation.
Five tools is well-scoped for a video-generation service, with each tool earning its place: auth, pricing, two generation modes, and task polling. Nothing feels redundant or missing from the count perspective.
Core lifecycle is covered: login, check pricing, create tasks in both modes, and poll task status/results. Minor gaps exist such as no task cancellation or listing of prior tasks, but the primary workflow is complete.
Maintenance
Related MCP Connectors
MCP server for Hailuo (MiniMax) AI video generation
MCP server for Pixapi: check live credit pricing and balance, then generate images and video.
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
Focused MCP server for OpenAI image/audio generation (v2.0.0). Wraps endpoints via HAPI CLI.
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