How to Use the Creatomate MCP in Mastra AI

Q: Can a Mastra AI agent select templates based on user inputs?

Yes. Your agent can call searchtemplatesbyname to find the right layout, retrieve its parameters with gettemplatedetails, and then start the render.

Q: Does Mastra AI support human approval before running a Creatomate render?

Yes. You can set the requireToolApproval flag on the rendervideo tool, forcing the MCP workflow to pause until a human reviews the planned video modifications.

Q: How do I check the progress of bulk automation runs?

You can query listrecentrenders or listvideoautomations to fetch the status of all active video generation tasks in your project.

Run resilient, multi-step video automation pipelines using Mastra AI and this Creatomate MCP Server.

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Connect Creatomate MCP to Mastra AI

Create your Vinkius account to connect Creatomate to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Creatomate with Mastra AI

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Resilient video rendering workflows

Mastra AI lets you connect to this MCP Server to build workflows that call `render_video` and automatically retry if the external API throws an error. If a render fails, the workflow engine catches it, waits, and checks `get_render_status` again. This keeps your automated video pipeline running without manual intervention. You don't have to write custom polling loops or error-handling boilerplate to keep things online.

Dynamic template analysis with Mastra AI

Your Mastra agents can inspect template structures before launching a render by calling `get_template_details`. It maps out which text fields and image placeholders are available for customization. Then, the agent matches incoming database records or API payloads to those specific fields. Execution of `render_video` only happens when the agent confirms all required variables are correctly formatted.

Automated asset management and cleanup

Keep your media library organized during bulk video runs by calling `list_media_assets` to scan your current storage. Your agent can identify unused files and clear out old assets automatically. By cross-referencing these files with `list_recent_renders`, the system knows which assets are actively used in recent outputs. This keeps your storage limits clean and programmatically managed.

Setup guide

Set up Creatomate MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Creatomate tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "creatomate-mcp-client",
  servers: {
    "creatomate-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Creatomate Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Creatomate tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Creatomate transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Creatomate. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Creatomate MCP in Mastra AI

You configure a workflow step using the MCP client to trigger `render_video`, and set up an automatic retry policy. If the API returns an error, Mastra will pause and retry the step.

Yes. Your agent can call `search_templates_by_name` to find the right layout, retrieve its parameters with `get_template_details`, and then start the render.

Yes. You can set the `requireToolApproval` flag on the `render_video` tool, forcing the MCP workflow to pause until a human reviews the planned video modifications.

You can query `list_recent_renders` or `list_video_automations` to fetch the status of all active video generation tasks in your project.

Your templates and media assets stay securely inside your account. Vinkius executes the MCP Server in a zero-trust sandbox, meaning project metadata is only retrieved during active tool execution and is never cached or stored on our servers.

Use it with your favorite AI tools

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