How to Use the Google Maps Platform MCP in Mastra AI

Build resilient location-aware workflows in Mastra AI using Google Maps Platform tools.

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Connect Google Maps Platform MCP to Mastra AI

Create your Vinkius account to connect Google Maps Platform 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 Maps Platform with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated Routing Workflows

Chain `get_distance_matrix` with custom logic to determine the best delivery route for your agents. If one path is blocked, the workflow engine automatically retries with different parameters. This gives your agents the ability to make decisions based on real-time traffic data. You define the failure conditions, and the framework handles the execution flow.

Coordinate Validation Logic

Use `reverse_geocode` to verify that GPS coordinates actually map to valid physical addresses before updating your database. It ensures your data remains clean during multi-step processes. Your agents can flag discrepancies immediately. This keeps your logistics pipeline accurate without needing manual oversight for every location update.

Timezone-Aware Scheduling

Integrate `get_timezone` into your agent tasks to handle scheduling across multiple regions. Your agents will never miss a deadline due to local time differences again. The tool takes a latitude and longitude and returns the exact offset. Your workflow handles the conversion internally, keeping your operations running smoothly.

Setup guide

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

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

const result = await agent.generate(
  "List recent Google Maps Platform 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 Maps Platform. 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

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Common questions about Google Maps Platform MCP in Mastra AI

You instantiate the MCP client and spread the tools into your agent definition. This makes the Google Maps Platform functions available as native steps in your pipeline.

Yes, you can enable tool approval for any Google Maps Platform function. This forces the agent to wait for your sign-off before executing high-cost API calls.

Absolutely. You can configure exponential backoff strategies directly in your workflow. If a network blip occurs, the agent will try the call again automatically.

The server acts as a pass-through for your location queries. It treats your address inputs as ephemeral data and does not cache them on our infrastructure.

The server is built for cloud environments. You just point the client to your endpoint, and it works across all your deployed agent instances.

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