How to Use the TomTom Parking Availability MCP in Mastra AI

Q: How do I handle TomTom Parking Availability searches in a complex workflow using Mastra AI?

You sequence the tools: first, use checkapistatus to confirm connection. Then, run searchparkingspots, and finally process results with getparkingdetails. The framework handles retries if any step fails.

Q: If I need specific data points, how does Mastra AI help with TomTom Parking Availability?

Use getparkingdetails. You feed it a parking ID, and the workflow retrieves all associated metadata in one reliable step, even if initial connection checks fail.

Build reliable TomTom Parking Availability workflows with Mastra AI.

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Create your Vinkius account to connect TomTom Parking Availability 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 Parking Availability with Mastra AI

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Verify Service Status in Workflows

The first thing your complex workflow needs is confirmation that the data source is good. Use `check_api_status` to ensure the TomTom Parking Availability MCP Server is up before running any expensive queries. If this initial step fails, Mastra AI’s built-in retry logic kicks in automatically, preventing your whole multi-step job from failing needlessly.

Search and Validate Spots via Mastra AI

Need to find parking spots? The `search_parking_spots` tool lets you initiate a search based on location. This is ideal for the initial phase of your agent workflow. After searching, your conditional branching can analyze the returned list—for example, only continuing if at least three viable options are found.

Process Specific Spot Details with Mastra AI

When the search narrows down to one or two critical spots, `get_parking_details` pulls all the necessary metadata. This is a perfect step for your workflow engine. Because Mastra AI handles failures gracefully, if fetching details fails on the first try, it automatically retries with exponential backoff until you get solid data.

Setup guide

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

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

const result = await agent.generate(
  "List recent TomTom Parking Availability 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 TomTom Parking. 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 TomTom Parking Availability MCP in Mastra AI

You sequence the tools: first, use `check_api_status` to confirm connection. Then, run `search_parking_spots`, and finally process results with `get_parking_details`. The framework handles retries if any step fails.

The server touches location coordinates, availability metadata, and specific parking IDs. Your agent reads this structured data to make decisions in the workflow.

Yes. The framework automatically retries failed tool calls, giving you confidence that your search or detail retrieval will succeed eventually.

Mastra AI's built-in workflow engine detects failures and can trigger alternate paths—like notifying an admin or trying a different geographic query.

Use `get_parking_details`. You feed it a parking ID, and the workflow retrieves all associated metadata in one reliable step, even if initial connection checks fail.

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