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

Q: How does UserStack User-Agent Lookup integrate with Mastra AI?

You call detectuseragent as one of the tools in your workflow, allowing conditional branching. The output tells your agent client whether to follow a desktop or mobile path.

Q: Can UserStack User-Agent Lookup help with automatic retries using Mastra AI?

Yes. If a step fails, you can use the UA data collected by detectuseragent to inform the retry logic. For example, if failure is linked to mobile network issues, your agent knows how to proceed.

Q: Does UserStack User-Agent Lookup give OS information to Mastra AI?

It does. The detectuseragent tool extracts the operating system (like iOS or Windows) from the input string. This is crucial for platform-aware workflows.

Build complex workflows using UserStack User-Agent Lookup with Mastra AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect UserStack User-Agent Lookup MCP to Mastra AI

Create your Vinkius account to connect UserStack User-Agent Lookup to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup UserStack User-Agent Lookup with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Route logic based on client device.

You can build conditional branches that check the user's context. If `detect_user_agent` determines they are on mobile, you run one workflow path; if it’s desktop, another. This makes your multi-step process smart and adaptive, handling different client requirements automatically.

Gather user data for retries.

If a primary payment method fails, you can use `detect_user_agent` to gather context about the calling device. This information helps your retry logic decide if it should attempt a different payment gateway or notify an admin. The workflow engine uses this UA data to make better decisions on automatic retries.

Use UA data in automated deployments.

You need to deploy code that behaves differently across operating systems. By calling `detect_user_agent` early, your Mastra AI workflow can collect the OS and browser details needed for deployment targeting. This ensures your complex automation handles platform variations gracefully.

Setup guide

Set up UserStack User-Agent Lookup MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All UserStack User-Agent Lookup tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "userstack-user-agent-lookup-mcp-client",
  servers: {
    "userstack-user-agent-lookup-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "UserStack User-Agent Lookup Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to UserStack User-Agent Lookup tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent UserStack User-Agent Lookup transactions"
);
console.log(result.text);

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 UserStack. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect UserStack User-Agent Lookup now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about UserStack User-Agent Lookup MCP in Mastra AI

You call `detect_user_agent` as one of the tools in your workflow, allowing conditional branching. The output tells your agent client whether to follow a desktop or mobile path.

Yes. If a step fails, you can use the UA data collected by `detect_user_agent` to inform the retry logic. For example, if failure is linked to mobile network issues, your agent knows how to proceed.

It provides structured details about the device and browser from the user's request. This data enriches the workflow context, giving your agent client specific platform knowledge.

It does. The `detect_user_agent` tool extracts the operating system (like iOS or Windows) from the input string. This is crucial for platform-aware workflows.

The server only processes the User-Agent header value, which includes identifiers for the browser and OS. It doesn't handle any financial or personal identifying information.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript