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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Google Roads MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Google Roads tools in your ADK agent.
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
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