How to Use the Ebby MCP in Vercel AI SDK

Q: How do I filter Ebby results within Vercel AI SDK?

Use searchtranscriptionsbyname to narrow down your data set before passing it to your model. This minimizes tokens and keeps your context window focused on the right file.

Stream Ebby transcription data directly into your Vercel AI SDK interface for real-time, zero-spinner user feedback.

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Connect Ebby MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Real-time transcription status in AI SDK

Feed your UI live updates on transcription jobs. Use `list_in_progress_transcriptions` to monitor queue depth and push progress bars to your frontend components. Stop waiting for batch cycles. Your app triggers `get_transcription_details` to verify state, ensuring your users see the transcript ready the moment it finishes.

Pull text directly into your Vercel components

Inject raw transcription data straight into your UI logic. Call `get_transcription_text` and map the output directly to your state management without extra server-side hops. This keeps your Edge Functions lean. You get the exact text string, avoiding unnecessary memory bloat during your stream lifecycle.

Account auditing for your Vercel app

Keep your users informed about their usage limits. Use `get_ebby_account_metadata` to fetch account quotas and display them in your settings dashboard. Run `quick_transcription_volume_audit` to show historical trends. It gives your users clear visibility into their consumption patterns without leaving your app.

Setup guide

Set up Ebby 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 Ebby 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 Ebby transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ebby. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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One

place for every integration

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Common questions about Ebby MCP in Vercel AI SDK

Use `search_transcriptions_by_name` to narrow down your data set before passing it to your model. This minimizes tokens and keeps your context window focused on the right file.

Yes. Pass your endpoint token through the authProvider in your client configuration. It handles the handshake so your agent stays connected to the Ebby API.

Absolutely. Since the server uses the standard protocol, your tool outputs stream right into your `streamText` calls. It acts just like any other native function.

The server returns standard error codes. You should wrap your tool calls in a try-catch block to handle timeouts or missing files gracefully.

Your audio files and generated text remain on the Ebby backend. This server only passes metadata and text strings to your client, ensuring no raw binary data hits your frontend storage.

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