How to Use the Google Roads MCP in Mastra AI

Build resilient agent workflows that snap GPS tracks and fetch speed limits using Google Roads and Mastra AI.

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Connect Google Roads MCP to Mastra AI

Create your Vinkius account to connect Google Roads 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.

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Setup Google Roads with Mastra AI

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Map scattered coordinates with Mastra AI

The `get_nearest_roads` tool maps individual, disconnected GPS points to the nearest road segments. Feed scattered location pings to this endpoint to identify the exact roads a vehicle used. Using Mastra's workflow engine, you can build conditional logic around these results. If a coordinate snaps to an off-road segment, the workflow automatically triggers an alert to investigate potential route deviation.

Automate speed compliance using this MCP Server

The `get_snapped_speed_limits` tool pulls snapped coordinates and posted speed limits in a single step. Run this tool to audit driver speeds against legal limits. If the driver's speed exceeds the limit returned by the tool, Mastra's retry logic and workflow steps handle the escalation. You can automatically queue a notification or log the incident to an external database without manual intervention.

Reconstruct routes cleanly in your workflows

The `snap_to_roads` tool reconstructs continuous routes from raw, noisy GPS tracks. Invoke this MCP tool to clean up raw telematics data before saving it to your database. By setting the interpolate parameter to true, the agent gets extra points between coordinates for smooth pathing. This ensures your workflow outputs clean, professional route lines for your fleet maps.

Setup guide

Set up Google Roads 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 Google Roads 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: "google-roads-mcp-client",
  servers: {
    "google-roads-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Google Roads transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Roads. 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 Google Roads MCP in Mastra AI

Initialize the Vinkius MCP client and register it with your Mastra AI agent. This exposes tools like `get_nearest_roads` and `get_speed_limits` directly to the agent's toolset.

Yes, Mastra AI has a built-in workflow engine that handles retries with exponential backoff. If `get_snapped_speed_limits` hits a rate limit, the workflow pauses and retries the call automatically.

Mastra AI uses TypeScript schemas to validate your GPS coordinates before making the call. This prevents invalid coordinate formats from reaching the `snap_to_roads` tool, saving you from wasted API calls.

Yes, Mastra AI supports human-in-the-loop validation. You can configure your workflow to require admin approval before the agent calls `get_speed_limits` for sensitive fleet audits.

No, your GPS coordinates and speed limit data are processed in transit. The Vinkius MCP server runs in an ephemeral, zero-trust sandbox, meaning your telematics data is never cached or stored after the API call completes.

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