How to Use the Amplifier MCP in Google ADK

Connect your Google ADK agents to live inventory. Execute fulfillment actions while keeping your data inside the Google Cloud ecosystem.

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Connect Amplifier MCP to Google ADK

Create your Vinkius account to connect Amplifier 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 Amplifier with Google ADK

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Fulfillment logic for Google ADK

Link your agent to this MCP Server to automate the order lifecycle. `create_order` allows your agent to push new sales directly into your fulfillment flow. It works well with your existing BigQuery data pipelines. Your agent acts as the bridge between your warehouse API and your analytical workloads.

Real-time stock queries in Google ADK

Query `get_inventory_report` to feed live data into your agent's long-context window. It replaces manual lookups with a direct function call. Your agent can now list catalog items using `list_items` to compare current stock against demand. It keeps your fulfillment operations precise.

Shipment tracking via Google ADK

The agent fetches tracking updates via `get_shipment_report` to answer customer queries. You get clear visibility into order status without writing extra boilerplate. It pulls order metadata through `get_order_details` to resolve discrepancies. Everything happens within the agent's execution loop.

Setup guide

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

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Why Choose Vinkius

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Common questions about Amplifier MCP in Google ADK

You use the McpToolset class inside your agent definition. Point it to the server URL, and it maps the tools into the Gemini-powered environment.

It does. You can deploy this as a sidecar or remote service, allowing your Vertex agents to trigger fulfillment actions based on your business logic.

Yes, you can restrict the exposed toolset by passing a filter to the toolset configuration. This limits the agent to only the specific fulfillment actions you want.

Since it runs as a standard toolset, you can track performance through your existing Cloud Logging setup. It behaves like any other function call in your graph.

All interactions pass through an authenticated endpoint. Your fulfillment records are never stored by us, ensuring your inventory data remains isolated within your VPC.

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