How to Use the Calendly MCP in Vercel AI SDK

Q: Can Vercel AI SDK list my Calendly event types?

Absolutely. Just call listeventtypes and render the results into your interface for the user to choose their meeting duration.

Stream Calendly booking data directly into your Vercel AI SDK interface for real-time schedule updates.

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Connect Calendly MCP to Vercel AI SDK

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

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Feed `get_available_times` into your streamText calls to show users open slots as they type. Your UI updates immediately when the agent pulls data. Stop making users wait for spinners. This MCP server pushes raw booking data into your React components the moment the agent fetches it.

Manage events in Vercel AI SDK

Trigger `cancel_event` or `get_scheduled_event` through your chat box. Your app handles the logic while the agent executes the change. Developers get a clean way to handle scheduling via the SDK. Pass the UUID and let the agent finalize the update.

Sync user profiles in Vercel AI SDK

Call `get_user` to pull profile details into your dashboard state. You get the name, timezone, and plan info directly in the tool response. Use this data to personalize the booking flow for your users. It connects your frontend state to their actual Calendly account.

Setup guide

Set up Calendly 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 Calendly 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 Calendly transactions",
});

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

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Common questions about Calendly MCP in Vercel AI SDK

Yes, you can. By exposing the booking tools to your agent, the model handles the selection process and calls the API to lock in the time.

It does. Because the SDK streams tool outputs, the data appears in your UI as soon as the agent receives the Calendly response.

Vinkius handles the auth token for you. Your agent only sees the event data you choose to expose via the tool definitions.

Absolutely. Just call `list_event_types` and render the results into your interface for the user to choose their meeting duration.

This server touches your event metadata, participant emails, and scheduling availability. We store nothing; all PII remains inside your ephemeral session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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