How to Use the Transloadit MCP in Vercel AI SDK

Q: How do I check the status of Transloadit assemblies with Vercel AI SDK?

Use getassemblydetails. Your agent calls this tool, and the result streams back to your Next.js or React UI immediately. You see the status update without having to hit a loading spinner.

Q: Can I track usage history with Transloadit and Vercel AI SDK?

Sure thing. Just pass the month in YYYY-MM format to getbillingusage. The MCP Server returns your file processing usage and cost breakdown for that specific period.

Q: If a template is wrong, how do I fix it using Transloadit and Vercel AI SDK?

First, check the configuration with gettemplatedetails. Once you've fixed the JSON in your code, use createprocessingtemplate to save the updated logic. Then, start a new assembly.

Q: What if I need to cancel a running job? Transloadit and Vercel AI SDK support this?

Yes. When an operation needs to stop, call cancelassembly. This action immediately aborts any running media processing pipeline you've started on the MCP Server.

Stream live file processing results directly into your UI using Vercel AI SDK.

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Connect Transloadit MCP to Vercel AI SDK

Create your Vinkius account to connect Transloadit to Vercel AI SDK 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 Transloadit with Vercel AI SDK

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Show Assembly Status Live

When you run a pipeline, you need immediate feedback. Call `get_assembly_details` and let the result stream to the user's screen in real time. The front end updates instantly as your agent checks the status of specific Transloadit assemblies.

Replay Jobs for Debugging

Something went wrong with a video encode? Don't make the user wait. Use `replay_assembly` to rerun a job immediately. This function lets your agent re-process completed Transloadit assemblies, proving data integrity right on the client side.

Manage Processing Templates

Building repeatable features requires stored logic. Call `create_processing_template` to define a new media pipeline structure. Then, pass that template name to your agent so it can build an assembly using `create_assembly`.

Setup guide

Set up Transloadit MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Transloadit tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Transloadit transactions",
});

console.log(text);
await mcpClient.close();

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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 Transloadit. 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 Transloadit MCP in Vercel AI SDK

Use `get_assembly_details`. Your agent calls this tool, and the result streams back to your Next.js or React UI immediately. You see the status update without having to hit a loading spinner.

Sure thing. Just pass the month in YYYY-MM format to `get_billing_usage`. The MCP Server returns your file processing usage and cost breakdown for that specific period.

First, check the configuration with `get_template_details`. Once you've fixed the JSON in your code, use `create_processing_template` to save the updated logic. Then, start a new assembly.

Yes. When an operation needs to stop, call `cancel_assembly`. This action immediately aborts any running media processing pipeline you've started on the MCP Server.

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

Use it with your favorite AI tools

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