How to Use the Bringg MCP in Google ADK

Connect your Google ADK agents to Bringg for high-scale logistics operations and fleet monitoring.

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Connect Bringg MCP to Google ADK

Create your Vinkius account to connect Bringg 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 Bringg with Google ADK

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Automate logistics in Google ADK

Execute `create_delivery_task` to feed orders from your Google Cloud infrastructure into the hub. Your agents handle the heavy lifting of entry. Cancel bad orders with `cancel_task_dispatch` before they hit the road. It keeps your dispatch logs clean and accurate.

Track fleet performance with Google ADK

Query your driver pool using `list_fleet_drivers` within your agent flow. You identify who is working and who is idle in seconds. Override routing decisions by calling `assign_driver_to_task`. Your agents make manual adjustments based on live capacity.

Access logistics data via MCP Server

Pull task timelines using `get_task_timeline` to feed your analytics pipelines. You get granular visibility into every delivery milestone. Use `list_active_tasks` to sync your agent's state with the real-time operations dashboard. It removes the gap between your code and the field.

Setup guide

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

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Common questions about Bringg MCP in Google ADK

Absolutely. You use the create tool to push new delivery orders into the system. Your agent handles the payload and confirms the creation.

You can. The update tool modifies customer notes or dropoff info on the fly. It keeps your delivery instructions current.

It provides a direct window into your fleet status. Your agent can list drivers and see who is available to handle a specific task.

You call the force task start tool from your agent. This updates the status in the hub, signaling the driver is en route.

The server transmits only the data required for the tool call. Vinkius secures the transport layer, so your delivery and customer info remains isolated from other system processes.

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