How to Use the Untappd MCP in Vercel AI SDK

Q: Can I track beer activity using Untappd and Vercel AI SDK?

Yes, use getbeeractivity to pull an activity feed for any specific beer. This data streams live into your UI when your agent processes the request.

Q: Which MCP Server handles user profile retrieval for Untappd and Vercel AI SDK?

The getuserinfo tool fetches the user's core profile data. This is necessary before you can run other actions, like viewing their wish list via getuserwishlist.

Real-time data streams for your AI client using Untappd.

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Connect Untappd MCP to Vercel AI SDK

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

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Stream Live Activity Feeds

When you call `get_user_activity`, the MCP Server sends back a live feed of activity—toasts, comments, and news. Your AI client can display these updates instantly in your UI; users see data appear as it streams through. This real-time capability means you skip the loading spinner entirely. You build frontends that react immediately to social drinking actions from Untappd.

Manage Social Connections

`request_friend` and `accept_friend` let your AI client handle all friend requests directly from the user interface. The user doesn't have to switch apps; they just talk to your agent, and it handles the social graph updates. It's simple state management: show pending invites using `get_pending_friends`, then call the appropriate tool to move the connection forward or reject it.

Check Beer Metadata

Need beer details? Use `search_beer` and `get_beer_info` to pull structured data into your app. You can show things like ABV, style, and brewery information right alongside the AI response. If a user mentions a venue name, you first run `foursquare_lookup` to get the correct Untappd Venue ID before fetching activity with `get_venue_activity`. It's all live.

Setup guide

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

Your AI client streams data directly from the MCP Server. You call `get_user_activity` and see comments or toast updates appear in real-time on your frontend, eliminating traditional loading states.

You need the endpoint token for authentication. When you call `get_user_friends`, the MCP Server verifies that connection before sending back the list of friends.

Yes, use `get_beer_activity` to pull an activity feed for any specific beer. This data streams live into your UI when your agent processes the request.

The `get_user_info` tool fetches the user's core profile data. This is necessary before you can run other actions, like viewing their wish list via `get_user_wishlist`.

The server touches user activity feed and friend connection data. This includes check-in history, comments, and social interactions.

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