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How to Use the Google Roads MCP in Google ADK

Integrate Google Roads with your Google ADK enterprise agents for high-precision fleet tracking and compliance.

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Google ADK

Connect Google Roads MCP to Google ADK

Create your Vinkius account to connect Google Roads 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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Reconstruct routes with Google ADK

Use `snap_to_roads` to convert your raw GPS telemetry into valid road paths. It interpolates points between coordinates for better visual tracking. Your Google ADK agent can now process clean path data. This makes route analysis much more reliable for your enterprise logistics dashboard.

Fetch precise speed limit data

Query `get_speed_limits` using place IDs to get legal speed data in km/h. This is the standard way to verify if a vehicle is adhering to local regulations. Your agent can flag speeding events in real-time. It's the most direct way to keep your fleet operation within legal speed boundaries.

Map points with Google ADK

Invoke `get_nearest_roads` to determine the specific road segment for any location. This tool works perfectly for individual points where path reconstruction isn't required. Your Google ADK agent handles this as a simple lookup. It's fast and gives you the exact road identity you need for reporting.

Setup guide

Set up Google Roads 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 Google Roads 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="Google Roads_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Google Roads 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 Google Roads. 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 Google Roads MCP in Google ADK

You initialize the McpToolset with the server URL. Once added to your agent, the tools are ready to interact with your cloud data.
It does. The API handles high-frequency requests, allowing your agents to monitor multiple vehicles simultaneously across your infrastructure.
Absolutely. Use the nearest road tool to find specific segments for any coordinate. This helps in mapping your fleet accurately.
The connection uses standard HTTP or stdio transports. You control the endpoint, ensuring data remains within your authorized environment.
The server only touches latitude and longitude coordinate pairs. It performs geometric calculations to return road IDs and speed values.

Start using the Google Roads MCP today

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We've already built the connector for Google Roads. Just plug in your AI agents and start using Vinkius.

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