Features
Hailuo MCP
Hailuo is MiniMax's video model, and it runs as a hosted node on Wireflow.
Build a workflow around it once, publish, and any MCP client like Claude or Cursor calls that Hailuo pipeline as one tool, with the video model left as a swappable node.
Free to build · no credit card · See how it works ↓
Andrew Adams · Co-Founder & Operations at Wireflow · 
How to Use Hailuo MCP
Steps to get you started in Wireflow.

Build the Hailuo graph once
On the canvas, wire a text prompt into a GPT Image 2.5 Flare still, then into a MiniMax Hailuo 03 clip. Name each node with its model so the graph is readable.

Publish it as an MCP tool
Publish the workflow. Wireflow exposes it on the hosted MCP server and as a REST endpoint at once, with its inputs typed for any caller.

Connect it to Claude or Cursor
Add the hosted MCP server in your client. The agent lists the workflow as a tool, sends the prompt as typed inputs, runs it, and gets the asset URLs.
What Hailuo MCP means, and how Wireflow runs it
Hailuo is MiniMax's video model. Driving it over MCP means an AI agent can call it as a tool, send a prompt and a reference, and get a clip back without you wiring the call by hand each time. The question is what sits behind that tool.
On Wireflow, Hailuo is a hosted node called MiniMax Hailuo 03, and the tool the agent calls is a workflow you built around it. The flow behind this page is real: a text prompt feeds a GPT Image 2.5 Flare still, and that still feeds a MiniMax Hailuo 03 clip. Publishing turns that graph into a hosted MCP tool and a REST endpoint at once, so an agent calls a whole Hailuo pipeline, not a single raw model, and can still pick a different video model per shot when a job needs one.
What the hosted MCP layer gives an agent
The workflow is the tool
The agent calls a pipeline you built, not a raw model, so one invocation can render a still and animate it into a Hailuo clip.
Hailuo is hosted
MiniMax Hailuo 03 runs as a node on Wireflow, so the agent reaches Hailuo without you wiring provider keys or a native endpoint.
Typed inputs
Each workflow exposes named, typed inputs. The agent reads the schema, fills the prompt, and runs without guessing arguments.
Asset URLs back
Runs return hosted asset URLs the agent can pass downstream, so the clip drops straight into the next step of its task.
REST as well
The same published workflow is a REST endpoint, so code that cannot speak MCP can trigger the identical Hailuo pipeline.
Swap the video model
The clip node is one setting. Keep Hailuo, or point it at Veo, Kling, Sora, or Seedance without touching the rest of the graph.
Build the Hailuo pipeline once, call it from any agent
When an agent can only call one raw video model at a time, it has to orchestrate every step itself: prompt the image model, wait, hand the result to the video model, wait again, handle each failure. That logic lives in the agent, so it breaks when the agent changes. Move the steps onto a canvas and the orchestration becomes the tool, not the agent's problem.
On Wireflow you build the Hailuo graph once, then let the agent drive it through the hosted MCP and REST layer, run after run, with no new wiring. A single call can chain a still into a Hailuo clip, and the same pattern lets you swap the video node between vendors without rewiring. It sits between a focused MCP server for video editing and a full multi-model pipeline: enough structure that one tool call does real multi-step work, enough openness that you can still inspect and edit the graph.
When calling Hailuo directly is the better fit
If your product depends on MiniMax's own native Hailuo endpoint, its exact parameters, or its specific service terms, call MiniMax directly; that is where those live, and a canvas layer does not change it. If you want the same hosted Hailuo model as a plain REST call without the MCP layer, see the Hailuo API, which exposes the identical workflow as an endpoint your code can hit. Wireflow does not host every model on the market, and it will never claim to. It is also not the reasoning brain: it generates and returns media, it does not write your strategy or decide your shot list.
Be honest about the rest too. Wireflow is a managed, hosted service, not a self-hosted MCP binary: there are no offline or local runs, and generations cost credits per run. It earns its place when the job is bigger than one bare call: pick the best model per shot, chain generation into a clip, keep one endpoint while models rotate underneath, or hand the pipeline to an agent as an MCP tool. If you are weighing Hailuo against other hosted video models first, read the Hailuo AI alternative and open the flow to read the actual graph.
More Than Just Hailuo MCP
Every workflow is an MCP tool
Publish a Hailuo graph once and any agent calls it as a hosted MCP tool, the same contract behind a video API for coding agents.

One call, still into Hailuo clip
A prompt becomes a GPT Image 2.5 Flare still, then a MiniMax Hailuo 03 clip, so one MCP call can chain models end to end.

Runs from inside your agent
Claude, Claude Code, and Cursor list the tool, send typed inputs, and get asset URLs back, the pattern behind an AI video agent.

Keep Hailuo or swap the model
The clip node is one setting, so you can hold Hailuo or route to Veo, Kling, or Sora and generate video without rewiring.

Versioned and reproducible
Workflows are versioned server side and shareable by link, so an agent run repeats the same workflow API graph next week.

Hailuo mcp Workflows
No Code Required
API & Batch Processing
FAQs
No. This page is not affiliated with MiniMax and is not its official server. Wireflow is a separate, hosted platform that runs the Hailuo model as a node. You publish a workflow built around Hailuo, and any MCP client calls that workflow as a tool.
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Written by
Andrew Adams · Co-Founder & Operations at Wireflow
Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.
Give your agent a Hailuo video MCP
The workflow behind this page is already built as a prompt to still to Hailuo clip graph, with the video model left as a swappable node. Read how agents call Wireflow workflows as hosted MCP tools, then open the flow to inspect the exact graph.