How to Use the TollGuru MCP in Google ADK

Q: Can TollGuru optimize multi-stop routes using Google ADK?

Absolutely. calculatetollmultistop helps minimize your total toll spend on complex, multi-waypoint delivery runs. It handles the optimization calculation for you.

Run complex trip cost analysis using Google ADK and TollGuru.

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Connect TollGuru MCP to Google ADK

Create your Vinkius account to connect TollGuru 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 TollGuru with Google ADK

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Perplexity

Calculate tolls with the MCP Server

If you have a mapping service polyline, `calculate_toll_from_polyline` figures out the necessary toll costs. This works whether your agent is doing post-trip accounting or just analyzing stored GPS tracks. It's flexible enough for any vehicle type and currency needed in an enterprise setting.

Multi-stop route budgeting

`calculate_toll_multi_stop` returns a full breakdown of tolls at every plaza along your entire trip. You get fuel costs, plus optional driver time estimates. This is essential when planning delivery routes or figuring out the budget for multi-waypoint logistics.

Full trip cost estimation

`calculate_toll_route` calculates total trip expenses between two points, including waypoints. The results detail plaza names, tag costs, and accepted payment methods. It also figures out fuel consumption based on vehicle specs and current market prices. You can even ask it to optimize the route for maximum savings.

Setup guide

Set up TollGuru 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 TollGuru 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="TollGuru_agent",
    model="gemini-2.0-flash",
    instruction="You have access to TollGuru tools via MCP.",
    tools=mcp_tools,
)

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Common questions about TollGuru MCP in Google ADK

You pass the MCP toolset into your LlmAgent, and it becomes available for long-context reasoning. This allows agents to automatically invoke `calculate_toll_route` or other tools when needed.

The server supports a huge range of vehicles, from 2-axle cars and motorcycles up to commercial trucks (9+ axles). You just tell the tool what type you're driving.

Yes, it calculates costs across over 50 countries. When running through the MCP Server, you specify the destination currency (like EUR or AUD), and we get the cost back in that format.

Absolutely. `calculate_toll_multi_stop` helps minimize your total toll spend on complex, multi-waypoint delivery runs. It handles the optimization calculation for you.

The server provides details on how tolls are paid—whether it's a tag or cash at specific plazas. This is key information for accurate trip reconciliation in BigQuery.

Use it with your favorite AI tools

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