How to Use the meetergo MCP in Vercel AI SDK

Q: Can I list meetergo bookings in Vercel AI SDK?

Yes. You call listbookings through the client and map the response to your dashboard. It works just like any other async function call in your app.

Stream meetergo scheduling data directly into your Vercel AI SDK frontends for real-time booking updates.

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Connect meetergo MCP to Vercel AI SDK

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

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Real-time calendar syncing for AI SDK

Feed live availability into your UI components without loading spinners. Your agent uses `get_availability` to fetch open slots and streams the result directly to your React or Next.js view. Users see the calendar populate as the model thinks. It turns raw JSON responses from the MCP server into immediate, interactive booking interfaces.

Automated meeting creation flows

Execute complex booking logic directly from your edge functions. When a user confirms a time, your agent triggers `create_booking` to write the record to your system instantly. This keeps your application state in sync with your sales stack. You handle the auth, the MCP server handles the transactional heavy lifting.

Deep lookup of meeting parameters

Query your meeting types and user details on the fly. Use `list_meeting_types` to let your AI client determine the right call duration or buffer settings before a booking is made. It removes the need for hardcoded business logic. Your code stays clean because the server keeps the configuration and the data in one place.

Setup guide

Set up meetergo 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 meetergo 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 meetergo 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 meetergo. 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

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Common questions about meetergo MCP in Vercel AI SDK

You handle authentication via the Vercel AI SDK authProvider. The MCP server respects your endpoint token, ensuring every request is validated before the server processes the data.

Yes. You call `list_bookings` through the client and map the response to your dashboard. It works just like any other async function call in your app.

It does. Since it uses standard transport protocols, you can connect the server to your edge-deployed code without issues.

Data stays in the Vercel AI SDK session context. We don't store your meeting details on Vinkius infrastructure; it's ephemeral and passes directly between the server and your client.

The server returns a standard error code. Your Vercel AI SDK implementation catches this, allowing you to show a fallback message or retry the operation.

Use it with your favorite AI tools

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