How to Use the DROPBOY MCP in Google ADK

Q: How do I install the DROPBOY toolset in a Google ADK project?

Install the package using pip install google-adk first. Then, initialize McpToolset with your Vinkius HTTP URL and pass it to your LlmAgent tools list. Your Gemini model can immediately invoke all ten logistics MCP tools.

Q: Can I restrict the Google ADK to only use specific DROPBOY tools?

Yes, you can use the optional toolnames filter when setting up your McpToolset. This allows you to restrict your agent to operational tools like listactivedeliveries while hiding account metadata.

Q: How does the agent handle large lists of orders?

The listlogisticsorders tool returns paginated payloads that your agent parses iteratively. Because Gemini handles massive context windows, the agent can ingest these large lists without running out of memory.

Ground your Gemini models with real-time fleet telemetry using the Google ADK and DROPBOY.

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Connect DROPBOY MCP to Google ADK

Create your Vinkius account to connect DROPBOY 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 DROPBOY with Google ADK

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Run massive logistics audits using Google ADK long context

The `list_logistics_orders` tool feeds thousands of active delivery records directly into Gemini's million-token context window using this MCP Server. Your agent analyzes months of order history alongside `quick_fleet_status_audit` data to find systemic bottlenecks. This setup avoids the chunking and search errors common in smaller models. The Google ADK passes the entire raw feed directly to the model, letting it spot delivery delays that simple database queries miss.

Connect BigQuery to the DROPBOY MCP Server

The `search_logistics_orders` tool lets your agent cross-reference live address queries with your historical BigQuery datasets. Your Google ADK agent pulls warehouse metrics from Google Cloud and matches them with live transit data. This integration connects your cold data storage with active street operations. The agent uses `get_order_details` to verify live statuses before updating your central enterprise warehouse.

Route fleet vehicles with Google Cloud telemetry

The `list_fleet_vehicles` tool imports your active vehicle registry directly into the Gemini execution environment. Your agent combines this list with `list_active_deliveries` to map real-time vehicle distribution. By running this on Google Cloud infrastructure, you can trigger automated routing scripts based on live driver shifts. The agent checks `get_driver_profile` to ensure assigned drivers have the remaining hours required for the route.

Setup guide

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

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Common questions about DROPBOY MCP in Google ADK

Install the package using `pip install google-adk` first. Then, initialize `McpToolset` with your Vinkius HTTP URL and pass it to your `LlmAgent` tools list. Your Gemini model can immediately invoke all ten logistics MCP tools.

Yes, you can use the optional `tool_names` filter when setting up your `McpToolset`. This allows you to restrict your agent to operational tools like `list_active_deliveries` while hiding account metadata.

The toolset supports both transport layers. For cloud-deployed enterprise agents, we recommend the Streamable HTTP transport. This ensures stable connections to the managed Vinkius runtime.

The `list_logistics_orders` tool returns paginated payloads that your agent parses iteratively. Because Gemini handles massive context windows, the agent can ingest these large lists without running out of memory.

Your vehicle telemetry and driver rosters are protected by Vinkius's zero-trust architecture. All API requests use ephemeral credentials, meaning your fleet data is never cached or stored on Google Cloud servers outside your active MCP session.

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