How to Use the Guidebook MCP in Vercel AI SDK

Q: Can I display live speaker bios using Guidebook and Vercel AI SDK?

Yes, you can. Call listspeakers through the MCP client to fetch presenter data and stream it directly into your React components.

Q: How to handle Guidebook API limits in Vercel AI SDK?

Call getratelimit inside your edge routes. This returns your current usage, allowing your agent to throttle requests before hitting hard limits.

Stream live event schedule updates directly into your Next.js frontend using the Guidebook MCP Server and Vercel AI SDK.

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Connect Guidebook MCP to Vercel AI SDK

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

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Live session edits with Vercel AI SDK

Users can edit schedules on your custom dashboard and watch the changes reflect live. The AI agent uses `list_sessions` and `get_session` to pull the current schedule, updates the details, and streams the new layout straight to the browser. Because this runs on the Edge, you get sub-millisecond response times. Your users see the actual event schedule update in real-time instead of staring at a blank loading spinner.

Dynamic speaker rosters in your React UI

Build a live-updating speaker bio wall. By integrating `list_speakers` and `get_speaker`, your Vercel AI SDK setup fetches presenter details on the fly and renders them as they load. No more static, stale data on your conference site. The client fetches the speaker details and streams them directly into your UI components, keeping everything in sync with the mobile app.

Real-time rate monitoring in Next.js

Keep your event app running smoothly during peak conference hours. The `get_rate_limit` tool lets your agent monitor API limits directly inside your Vercel AI SDK edge functions using this MCP Server. If you hit API limits during a busy event day, the agent detects it instantly. It adjusts the request frequency or warns the admin in the UI before any schedule updates break.

Setup guide

Set up Guidebook 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 Guidebook 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 Guidebook 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 Guidebook. 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 Guidebook MCP in Vercel AI SDK

Use createMCPClient to connect the Guidebook MCP Server to your Next.js app. Pass the server tools to streamText to let your agent fetch and update sessions dynamically.

Yes, you can. Call `list_speakers` through the MCP client to fetch presenter data and stream it directly into your React components.

Call `get_rate_limit` inside your edge routes. This returns your current usage, allowing your agent to throttle requests before hitting hard limits.

Yes, it runs perfectly on the Edge. The HTTP transport ensures your Vercel AI SDK application connects to Guidebook without cold-start delays.

This server only touches event schedules, speaker profiles, and custom lists. No personal attendee data or ticket purchases are ever processed or stored by this connection.

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