How to Use the Route4Me MCP in Google ADK

Q: How do I configure Route4Me MCP tools in Google ADK?

Initialize McpToolset with the Vinkius HTTP transport URL. Pass this toolset into your LlmAgent constructor to expose the routing tools to Gemini.

Q: Can I restrict which Route4Me tools the Google ADK agent can access?

Yes, you can use the optional toolnames filter in the toolset configuration. This lets you expose getroute while blocking destructive actions like deleteaddress.

Q: Does this integration support real-time driver tracking?

The getusers and getvehicles tools return current driver rosters and registered vehicle profiles. You can query these tools on a schedule to monitor your fleet's active status.

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Setup Route4Me with Google ADK

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Route Optimization with Google ADK

`get_optimizations` retrieves your historical routing runs to compare planned paths against actual delivery times. Gemini uses its long-context window to ingest months of this optimization data alongside your BigQuery warehouse logs. Your agent spots patterns in late deliveries, then triggers `get_route` to analyze specific driver paths. It identifies bottleneck zones without requiring manual data exports.

Fleet Coordination via MCP Server

`get_vehicles` and `get_users` pull live fleet capacities and driver rosters directly into your Google Cloud agent environment. This allows your agent to match pending orders with available trucks. If a vehicle breaks down, the agent queries active paths. It then uses `update_address` to reroute outstanding stops to functional trucks.

Bulk Address Validation

`create_address` and `delete_address` let your agent clean up your customer address books. The agent reads raw, unformatted shipping destinations from your database, formats them, and writes them to Route4Me. Using `get_addresses` verifies that no duplicate stops exist. This prevents your dispatchers from sending two drivers to the exact same warehouse on the same morning.

Setup guide

Set up Route4Me 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 Route4Me 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="Route4Me_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Route4Me tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Route4Me. 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 Route4Me MCP in Google ADK

Initialize `McpToolset` with the Vinkius HTTP transport URL. Pass this toolset into your `LlmAgent` constructor to expose the routing tools to Gemini.

Yes, you can use the optional `tool_names` filter in the toolset configuration. This lets you expose `get_route` while blocking destructive actions like `delete_address`.

Gemini's million-token context easily processes thousands of addresses returned by `get_addresses`. The agent handles complex spatial reasoning across your entire fleet layout.

The `get_users` and `get_vehicles` tools return current driver rosters and registered vehicle profiles. You can query these tools on a schedule to monitor your fleet's active status.

Your fleet schedules, address coordinates, and optimization histories run inside an isolated, zero-trust V8 sandbox. This MCP configuration routes these payloads through secure GCP endpoints, preventing exposure to external networks.

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