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How to Use the TomTom Alternative MCP in Google ADK

Build enterprise routing agents with Google ADK. Use TomTom Alternative for location services on BigQuery.

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Google ADK

Connect TomTom Alternative MCP to Google ADK

Create your Vinkius account to connect TomTom Alternative to Google ADK 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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Calculate a basic route between two points.

The `calculate_route` tool handles the fundamental A-to-B trip planning. You just need an origin and a destination, and it returns the optimized path details. It's straightforward routing for standard use cases. It provides the necessary sequence of steps and distances between two defined points, keeping your enterprise agents simple and reliable.

Get coordinates from any full address.

Use `geocode` to convert user-provided addresses into structured geographic data. You input '123 Main St, City' and the tool returns the precise latitude and longitude pair. This is how you anchor text data onto a map. Because your agents live in Google Cloud, this clean coordinate output makes it easy to join with other datasets already sitting in BigQuery.

Search for locations even if input is messy.

The `fuzzy_search` tool lets the agent handle misspelled or incomplete location names. It accepts a single string and returns a list of potential matches for addresses and POIs. This prevents your agents from failing simply because a user typed 'Mian Street' instead of 'Main Street'. This robust search capability is vital when building complex, data-driven applications on the Google Cloud platform.

Setup guide

Set up TomTom Alternative MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with TomTom Alternative tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="TomTom Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to TomTom Alternative tools via MCP.",
    tools=mcp_tools,
)

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

The `calculate_advanced_route` tool supports calculating routes that include waypoints or require avoiding specific areas like vignettes. You pass the entire sequence of stops and constraints to the agent. This lets your enterprise clients model complex logistical movements.
Yes, you can use `get_traffic_incidents` to pull real-time road status and flow info. This feeds directly into your agent's reasoning process, allowing it to adjust recommendations based on current congestion or accidents.
You access the tile image URL using `get_map_tile`. You must specify the exact geographic bounds and zoom level. The tool returns a direct, usable link for rendering specific sections of a map within your application interface.
Start by calling `fuzzy_search` if the location input is questionable. Otherwise, use `geocode` for a clean conversion of an address into coordinates. These tools form the necessary data foundation before routing or displaying maps.
This server handles geographic addresses, routes, and coordinate pairs. Since you're running agents on BigQuery within Google Cloud, ensure that any address or location data passed through the `geocode` tool is anonymized or secured according to your compliance standards.

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