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How to Use the Bizzabo MCP in Vercel AI SDK

Build real-time event dashboards that stream Bizzabo attendee and session data directly into your React frontend using Vercel AI SDK.

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Vercel AI SDK

Connect Bizzabo MCP to Vercel AI SDK

Create your Vinkius account to connect Bizzabo 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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Live event registration feeds with Vercel AI SDK

`list_registrations` pulls attendee sign-ups from Bizzabo and feeds them directly into your streaming Vercel AI SDK UI components. Your code passes these tools to `streamText` so the front-end renders updates without making users stare at loading spinners. This setup handles high-throughput queries for Bizzabo registrations by running on Edge Functions. It maps the Bizzabo data schema to your Vercel AI SDK UI state instantly, letting you build custom event dashboards that update as fast as the data changes.

Dynamic schedule curation via MCP Server tools

`list_sessions` and `list_speakers` pull the entire Bizzabo event itinerary directly into your Vercel AI SDK LLM context window. The client takes this raw structural data and formats it into clean, interactive schedule widgets on the fly. You don't need to write manual fetch requests or manage complex state machines for your event schedules. By passing these Bizzabo tools to `generateText` in your Vercel AI SDK app, your system answers user questions about specific talks using real-time organizer data.

Instant attendee lookups

`get_contact` retrieves specific Bizzabo attendee profiles to populate support chats or check-in screens without lag. The MCP Server handles the authentication handshake, allowing your Vercel AI SDK application to query contact details securely on the edge. This eliminates the need to build a custom backend middleware layer just to read Bizzabo attendee metrics. Your Vercel AI SDK code gets the exact contact data it needs with a single function call, keeping your bundle size small and your page loads fast.

Setup guide

Set up Bizzabo 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Bizzabo transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bizzabo. 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 Bizzabo MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and call `createMCPClient` with your Vinkius HTTP endpoint. Pass the output of `mcpClient.tools()` directly to the `tools` parameter in `streamText` or `generateText`. Remember to call `mcpClient.close()` when your execution context finishes to avoid leaking connections.
Yes, the integration runs completely on Edge Functions. Because Vinkius manages the server environment, your edge routes only need to make lightweight HTTP calls to fetch Bizzabo data. This keeps your serverless execution times low and avoids cold-start delays.
It maps the tool output directly to React or Svelte UI components as the tokens arrive. When your agent calls `list_events`, the SDK streams the raw JSON chunks to the client, allowing your UI to render the event list progressively instead of waiting for the entire payload to resolve.
Yes, the SDK's `authProvider` handles OAuth credentials dynamically. This means your application can query event details or registration files on behalf of different logged-in organizers without hardcoding a single master API key.
Your attendee names, emails, and ticket details pass through an ephemeral V8 Isolate sandbox hosted by Vinkius. No records are written to persistent storage during the tool call. The data goes directly from the Bizzabo API to your edge handler, meaning your customer records remain private and compliant.

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