How to Use the Verbit MCP in Vercel AI SDK

Q: How do I check Verbit job status using the Vercel AI SDK?

You call getjob with the specific job ID. The Vercel AI SDK handles this request and streams back the current progress, telling your client exactly where things stand with the transcription.

Q: Can the Vercel AI SDK manage Verbit's job workflow?

Absolutely. Your agent uses createjob first, then tracks progress using getjob, and finally retrieves the output with gettranscript. The SDK handles this sequence of tool calls, making it feel instantaneous to the end user.

Q: What happens if I need to change Verbit's output format?

The gettranscript tool is designed to provide captions in multiple formats. Check the specific documentation for that function; it will detail which file types are supported when you call it.

Real-time transcription results streaming directly into your React or Next.js UI using the Vercel AI SDK.

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Connect Verbit MCP to Vercel AI SDK

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

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Streaming Verbit MCP Server Results

The `create_job` tool lets you upload a media file for transcription. When calling this tool, your agent gets an immediate job ID and starts the process right away. The Vercel AI SDK ensures that when the results come back—say, from checking progress with `get_job`—the data streams live into the UI. The user sees it appear in real time; no loading spinner needed.

Checking Transcription Status

Need to know if the job finished? Use `get_job` to check a transcription's progress using its unique ID. This tool returns status updates, letting your agent track whether the media file is still processing or ready for download. If the status is 'completed,' you know it's safe to call `get_transcript`. This keeps your user-facing logic clean and responsive, because you only try to grab the transcript when it's actually done.

Downloading Final Captions

Once a job is finished, the `get_transcript` tool handles downloading the completed text. This function provides the actual caption data in multiple formats you need for your application. Since this entire process runs through the Vercel AI SDK, the final transcript download happens as part of the live stream. Your developer can handle the file output without any extra backend calls.

Setup guide

Set up Verbit 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 Verbit 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 Verbit transactions",
});

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

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Common questions about Verbit MCP in Vercel AI SDK

You call `get_job` with the specific job ID. The Vercel AI SDK handles this request and streams back the current progress, telling your client exactly where things stand with the transcription.

Verbit takes media files as input. It processes them to output completed transcripts in various formats. The `get_transcript` tool allows you to download these specific file outputs.

Absolutely. Your agent uses `create_job` first, then tracks progress using `get_job`, and finally retrieves the output with `get_transcript`. The SDK handles this sequence of tool calls, making it feel instantaneous to the end user.

You pass the MCP endpoint URL when setting up your client in the Vercel AI SDK. Your agent then accesses the tools—like `create_job`—and the results appear live within your Next.js components.

The `get_transcript` tool is designed to provide captions in multiple formats. Check the specific documentation for that function; it will detail which file types are supported when you call it.

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