How to Use the Cal.com MCP in Vercel AI SDK

Q: How do I install the Cal.com integration for Vercel AI SDK?

Run npm install ai @ai-sdk/mcp to get the core packages for your Cal.com connection. Then, configure your connection using createMCPClient with the HTTP URL provided by Vinkius for your MCP Server. Once initialized, pass mcpClient.tools() directly to your generation function.

Stream live Cal.com booking data straight into your React components using the Vercel AI SDK.

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Connect Cal.com MCP to Vercel AI SDK

Create your Vinkius account to connect Cal.com 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 Cal.com with Vercel AI SDK

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Live UI rendering for your Cal.com bookings

Exposing `list_bookings`, this MCP Server lets your Next.js app display calendar data live as the Vercel AI SDK streams it. Your front-end receives raw booking chunks immediately, allowing React components to display open slots without waiting for a full API cycle. If a user wants to change their slot, the agent fires `cancel_booking` and updates the UI state in real-time.

Build custom scheduling forms with Vercel AI SDK

With `list_event_types` and `get_schedules` available, this MCP Server lets your Vercel AI SDK frontend build dynamic booking forms on the fly. The end user selects a time, and the SDK instantly processes the request. Once confirmed, the agent triggers `create_booking` to lock in the meeting on Cal.com.

In-chat meeting template creation

By enabling `create_event_type`, this MCP Server lets your Vercel AI SDK agent create new meeting formats on demand. To make sure the user is set up correctly, the agent checks their profile using `get_current_user` to match their timezone. The new event type is immediately ready for booking, and the live stream confirms the setup to the user.

Setup guide

Set up Cal.com 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 Cal.com 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 Cal.com 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 Cal.com. 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 Cal.com MCP in Vercel AI SDK

You pass the user's Cal.com credentials dynamically using the `authProvider` option when setting up your Vercel AI SDK client. This ensures each API request uses the correct token. The Vercel AI SDK handles the active session while the MCP server processes the actual calendar updates.

Yes, streaming Cal.com booking changes live to a React frontend is the main strength of using the Vercel AI SDK with this MCP Server. When the agent calls `list_bookings` or `create_booking`, the tool outputs stream directly into your UI components. Your users see their calendar status update in real-time without refreshing.

Run `npm install ai @ai-sdk/mcp` to get the core packages for your Cal.com connection. Then, configure your connection using `createMCPClient` with the HTTP URL provided by Vinkius for your MCP Server. Once initialized, pass `mcpClient.tools()` directly to your generation function.

The Vercel AI SDK catches the tool execution error directly in the stream if a Cal.com API call fails during an edge run. If a call like `cancel_booking` fails because of an expired token, the error is passed to your frontend code. You can then catch this state to prompt the user to re-authenticate.

Vinkius runs the MCP Server inside an isolated V8 sandbox, meaning your Cal.com calendar bookings, event types, and user schedules are never stored or logged. Your Cal.com API tokens are encrypted and transmitted directly to the Cal.com API. The entire connection is ephemeral and terminates the moment your SDK client closes the session.

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