How to Use the Transloadit MCP in Vercel AI SDK

Q: How do I check Transloadit assembly status using Vercel AI SDK?

You call getassembly with the specific ID. Since you're using the Vercel AI SDK, the results stream directly into your frontend UI, giving the user real-time updates.

Q: Can I see all available templates in my Transloadit app with Vercel AI SDK?

Yep. You just need to call listtemplates() through your MCP client. This pulls a list of every reusable processing template the system supports.

Q: Does the Transloadit MCP Server support multiple running processes with Vercel AI SDK?

Absolutely. You can use listassemblies() to get IDs for all active jobs, and then stream status updates for each one as they complete.

Q: How do I verify the API connectivity using Transloadit with Vercel AI SDK?

You run getme(). This function checks your account context against the MCP Server and confirms that all necessary credentials are working correctly for streaming data.

See Transloadit results appearing live in your Next.js frontends using the 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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Real-time Assembly Status

When an end user triggers file processing, call the `create_assembly` tool. Your agent immediately gets a unique assembly ID. Then, use `get_assembly(id)` to stream updates as the process runs; this shows status changes live in the UI, not after a loading spinner.

Managing Processing Templates

Need standardized processing logic? First, run `list_templates()` to see what's available. After that, call `create_template(name, definition)` to define new rules your agent can enforce consistently across different user interactions.

API Context and Billing Checks

Build trust into your app’s UI. Before processing anything, run `get_me()` to confirm API connectivity and pull the current user context. You can also give users access to their billing history by calling `get_bill(month)` right on the dashboard.

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

You call `get_assembly` with the specific ID. Since you're using the Vercel AI SDK, the results stream directly into your frontend UI, giving the user real-time updates.

Yep. You just need to call `list_templates()` through your MCP client. This pulls a list of every reusable processing template the system supports.

The server handles retrieving billing information, specifically allowing you to check usage by calling `get_bill(month)`. This shows resource consumption details for a given month.

Absolutely. You can use `list_assemblies()` to get IDs for all active jobs, and then stream status updates for each one as they complete.

You run `get_me()`. This function checks your account context against the MCP Server and confirms that all necessary credentials are working correctly for streaming data.

Use it with your favorite AI tools

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