How to Use the TomTom MCP in Mastra AI

Q: How does TomTom help with route planning using Mastra AI?

The calculateroute tool gives you a complete polyline and summary. If the initial route fails (e.g., due to construction), Mastra AI can automatically retry or trigger an alternate path calculation for your workflow.

Q: If I use TomTom's fuzzy geocoding with the Mastra AI, what guarantees do I get?

The fuzzygeocoding tool converts ambiguous physical addresses into precise geographic coordinates. This reliability ensures that subsequent workflow steps—like calculating a route—have solid starting data.

Q: What if my multi-step TomTom process needs to know about local POIs?

Use searchpoibycategory. Provide the category and coordinates, and your workflow gets a list of relevant points of interest. This lets you build logic that checks for nearby gas stations or hospitals before proceeding.

Q: Can I convert coordinates back to an address with TomTom using Mastra AI?

Yes, run reversegeocoding. This tool takes raw latitude/longitude points and converts them into a full, human-readable physical street address. It's useful for final confirmation steps in your workflow.

Build reliable, multi-step logistics workflows with TomTom using Mastra AI.

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Connect TomTom MCP to Mastra AI

Create your Vinkius account to connect TomTom 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 TomTom with Mastra AI

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Perplexity

Managing complex routing decisions

Don't just get a single route. The agent uses `calculate_route` to find the best path between two points, returning both the polyline and a summary of the travel time. If the plan fails, Mastra AI can retry with new parameters. Need to know if a destination is even reachable? Use `calculate_reachable_range`. You supply a central coordinate and a time budget, and the tool confirms the full area they can get to.

Handling ambiguous addresses

If your user gives you an address that's vague or misspelled, don't fail. The `fuzzy_geocoding` tool converts those messy physical strings into accurate coordinates. This step is crucial for making sure the next workflow step doesn't break. For structured data like ZIP codes and country codes, rely on `structured_geocoding`. It forces precise input parameters to guarantee reliable location data.

Monitoring real-time traffic conditions

When the workflow needs to adjust for delays, call `get_traffic_incidents` with a min/max coordinate bounding box. The agent fetches live incident reports and can trigger a retry step with an adjusted ETA. For localized speed checks, use `get_traffic_flow_segment`. This tool reads traffic quality and flow speed for specific road segments, helping the workflow decide if rerouting is necessary.

Setup guide

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

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

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

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Common questions about TomTom MCP in Mastra AI

The `calculate_route` tool gives you a complete polyline and summary. If the initial route fails (e.g., due to construction), Mastra AI can automatically retry or trigger an alternate path calculation for your workflow.

The `fuzzy_geocoding` tool converts ambiguous physical addresses into precise geographic coordinates. This reliability ensures that subsequent workflow steps—like calculating a route—have solid starting data.

Use `search_poi_by_category`. Provide the category and coordinates, and your workflow gets a list of relevant points of interest. This lets you build logic that checks for nearby gas stations or hospitals before proceeding.

This server handles geographic coordinates, detailed POI metadata, and real-time traffic incident reports. It manages the core spatial data necessary for complex routing and logistical workflows.

Yes, run `reverse_geocoding`. This tool takes raw latitude/longitude points and converts them into a full, human-readable physical street address. It's useful for final confirmation steps in your workflow.

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