How to Use the UserStack User-Agent Lookup MCP in Vercel AI SDK

Q: How do I use UserStack User-Agent Lookup with Vercel AI SDK?

You pass the raw User-Agent string to the detectuseragent tool when calling your streamText function. The result is then streamed directly into React or Next.js components, making the data visible instantly.

Q: Does UserStack User-Agent Lookup provide device type when used with Vercel AI SDK?

Absolutely. The detectuseragent tool identifies the general device and browser from any provided string. You get clear data points like 'mobile' or 'desktop,' letting you tailor your UI accordingly.

Stream UA data to the user instantly with Vercel AI SDK.

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Connect UserStack User-Agent Lookup MCP to Vercel AI SDK

Create your Vinkius account to connect UserStack User-Agent Lookup 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 UserStack User-Agent Lookup with Vercel AI SDK

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Claude

Perplexity

Show device details in real time.

When your agent calls `detect_user_agent`, it parses a raw User-Agent string. The result tells you the user's browser, operating system, and general device type. Because this uses Vercel AI SDK, that data streams straight into your UI element. Your users see the information appear live, without waiting for a loading spinner to clear.

Handle client context in Edge Functions.

You can run `detect_user_agent` directly inside an Edge Function environment. This keeps your API calls fast and close to the user. It's perfect for gathering initial client data before sending it downstream.

Get OS and browser info reliably.

The `detect_user_agent` tool breaks down complex User-Agent strings into structured JSON. You get specific details about the operating system (like Windows or macOS) and the exact browser version. This means you don't have to guess what platform your user is on; your AI client knows for sure.

Setup guide

Set up UserStack User-Agent Lookup 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 UserStack User-Agent Lookup 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 UserStack User-Agent Lookup transactions",
});

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

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Common questions about UserStack User-Agent Lookup MCP in Vercel AI SDK

You pass the raw User-Agent string to the `detect_user_agent` tool when calling your streamText function. The result is then streamed directly into React or Next.js components, making the data visible instantly.

Yep, it’s designed to work in those high-speed environments. You can run `detect_user_agent` without latency concerns. The data streams back quickly enough for a smooth user experience.

Absolutely. The `detect_user_agent` tool identifies the general device and browser from any provided string. You get clear data points like 'mobile' or 'desktop,' letting you tailor your UI accordingly.

It returns structured information covering the OS, browser, and device type. This data is machine-readable JSON that you can consume immediately in your client code.

This server only handles the User-Agent string itself, which contains browser and operating system identifiers. It doesn't request or store any user credentials beyond that initial client context.

Use it with your favorite AI tools

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