How to Use the Trimble MCP in Google ADK

Q: Can I use Google ADK for calculating tolls with Trimble?

Yes. Your agent calls calculatetriptolls, which handles the toll estimation process. This keeps all your financial logistics data within the Google Cloud ecosystem.

Q: Can the MCP Server handle multiple origins for Google ADK with Trimble?

You bet. The agent calls calculatematrixrouting, which is designed specifically to calculate times and distances across arrays of many different starting points and endpoints.

Q: Is calculating state mileage reliable when using the MCP Server in Google ADK?

It's very. The calculatestatemileage tool accurately breaks down total route distance by US state or province, giving you granular data for reporting.

Build enterprise logistics agents on Google ADK with Trimble's routing data.

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Connect Trimble MCP to Google ADK

Create your Vinkius account to connect Trimble 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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Setup Trimble with Google ADK

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Commercial Route Planning via MCP Server

Your agent uses `calculate_matrix_routing` to map out distances and travel times between numerous origins and destinations. This is huge when you need a quick overview of many potential stops. It also runs `calculate_truck_route`, which generates the core, truck-compliant path (distance, time, polyline) using Trimble PC*MILER.

Advanced Geo-Compliance and State Tracking

Need to account for state lines? Call `calculate_state_mileage` to break down mileage by US state or province. For specific dimensions, the agent uses `route_by_vehicle_size` to calculate a route that fits your vehicle's height and weight. If you only care about avoiding certain roads, use `route_avoiding_roads`; it handles those exclusions cleanly.

Toll Costing and Location Services

Estimating costs is easy. The MCP Server provides total toll fees in USD using `calculate_trip_tolls`. You can pair this with `search_trimble_address` to find specific commercial locations first. Need a starting point? Run `reverse_geocode` to convert any coordinate set into the nearest usable street address.

Setup guide

Set up Trimble 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

Install Google ADK

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

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

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 Trimble 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="Trimble_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Trimble tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Trimble MCP in Google ADK

Google ADK allows your agent to access all MCP Server tools. Since you're using BigQuery, the agent can act on routes calculated by `calculate_truck_route` and export results directly.

Yes. Your agent calls `calculate_trip_tolls`, which handles the toll estimation process. This keeps all your financial logistics data within the Google Cloud ecosystem.

The server processes sensitive location and address information, including precise coordinates (lon/lat) when running geocoding tools like `reverse_geocode` or `search_trimble_address`.

You bet. The agent calls `calculate_matrix_routing`, which is designed specifically to calculate times and distances across arrays of many different starting points and endpoints.

It's very. The `calculate_state_mileage` tool accurately breaks down total route distance by US state or province, giving you granular data for reporting.

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