How to Use the Transloadit MCP in Mastra AI

Q: How do I ensure a job runs even if it fails? Transloadit and Mastra AI handle this?

You use replayassembly. This function re-runs any completed assembly, giving your workflow the chance to succeed on a second or third attempt. It's essential for critical media encoding steps.

Q: What is the best way to check my costs with Transloadit and Mastra AI?

Simply call getbillingusage and pass the month in YYYY-MM format. It provides a clear report on your file processing usage and associated costs for that billing cycle.

Q: If I need to change a pipeline's steps, what should I use with Transloadit and Mastra AI?

You should first gettemplatedetails to review the current configuration. After making changes, you save it using createprocessingtemplate, ensuring your next assembly uses the updated logic.

Q: If a job is running and I need to stop it, how does Transloadit handle this?

Call cancelassembly. This action sends the signal to immediately abort any ongoing media processing pipeline. It's your hard kill switch for live operations.

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Connect Transloadit MCP to Mastra AI

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Setup Transloadit with Mastra AI

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Automated Job Retries

Need a process that can’t stop? Let your agent handle automatic retries and exponential backoff. Use `replay_assembly` to re-run an assembly if the initial attempt fails, building highly reliable workflows within Mastra AI.

Define Processing Logic

Start by creating a reusable template for your media jobs. Call `create_processing_template` with a name and the steps JSON. This establishes the core logic that subsequent assemblies will follow consistently.

Monitor Pipeline Failures

When complex workflows run, you need to know what succeeded and what failed. Use `get_assembly_details` to check the status of any specific Transloadit assembly. Mastra AI can then branch based on that reported success or failure.

Setup guide

Set up Transloadit 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 Transloadit 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: "transloadit-mcp-client",
  servers: {
    "transloadit-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Transloadit MCP in Mastra AI

You use `replay_assembly`. This function re-runs any completed assembly, giving your workflow the chance to succeed on a second or third attempt. It's essential for critical media encoding steps.

Simply call `get_billing_usage` and pass the month in YYYY-MM format. It provides a clear report on your file processing usage and associated costs for that billing cycle.

You should first `get_template_details` to review the current configuration. After making changes, you save it using `create_processing_template`, ensuring your next assembly uses the updated logic.

Call `cancel_assembly`. This action sends the signal to immediately abort any ongoing media processing pipeline. It's your hard kill switch for live operations.

The server accesses file processing usage and costs. You pass a month in YYYY-MM to `get_billing_usage`, which returns the necessary financial breakdown.

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