How to Use the FieldAware MCP in Google ADK

Q: How do I register the FieldAware toolset in Google ADK?

Initialize McpToolset with your Vinkius HTTP transport URL and pass it to your LlmAgent. Gemini models will instantly discover all twelve MCP tools, including listjobs and listassets.

Q: Can I limit which FieldAware tools my Google ADK agent can access?

Yes, you can pass a toolnames filter to the McpToolset constructor. This restricts the agent to specific operations, like only allowing getcustomer while blocking financial tools.

Feed FieldAware field data directly into your Gemini enterprise pipelines using the Google ADK.

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Connect FieldAware MCP to Google ADK

Create your Vinkius account to connect FieldAware 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 FieldAware with Google ADK

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Enterprise asset analysis via Google ADK

The `list_assets` tool exposes your entire FieldAware equipment database to Gemini's million-token context window via Google ADK. This lets your agent cross-reference years of maintenance logs with real-time sensor data from BigQuery. By using this deep context, the Google ADK agent uses `get_job` to analyze past repair patterns on specific hardware. You get predictive maintenance schedules generated directly within your Google Cloud environment.

Audit billing with Google ADK

The `list_invoices` tool retrieves FieldAware financial records directly into your Google ADK enterprise data pipelines. Your Gemini agent compares these records against completed work orders pulled via `list_jobs` to flag discrepancies. Running this MCP Server toolset within Google ADK allows you to automate end-of-month auditing. The Gemini agent identifies unbilled jobs and prepares draft invoices without manual spreadsheet matching.

Dynamic customer contact routing

The `list_contacts` tool retrieves key personnel details for any FieldAware service account instantly using Google ADK. When an emergency alert triggers in your Google Cloud console, the agent calls `get_customer` to find the primary contact. This Google ADK integration enables immediate, automated notifications to the right on-site managers. Your Gemini agent coordinates the response using live data, bypassing outdated static phone lists.

Setup guide

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

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Common questions about FieldAware MCP in Google ADK

Initialize `McpToolset` with your Vinkius HTTP transport URL and pass it to your `LlmAgent`. Gemini models will instantly discover all twelve MCP tools, including `list_jobs` and `list_assets`.

Yes, you can pass a `tool_names` filter to the `McpToolset` constructor. This restricts the agent to specific operations, like only allowing `get_customer` while blocking financial tools.

The Google ADK feeds large datasets from the MCP Server straight into Gemini's massive context window. This allows the model to spot complex operational trends across thousands of records at once.

Yes, your agent can process BigQuery anomalies and immediately call `create_job` to dispatch a technician to the affected asset.

All customer profiles, asset histories, and quotes remain isolated within Vinkius's zero-trust MCP infrastructure. Google ADK queries travel over encrypted HTTP channels, ensuring your operational data never leaks into external model weights.

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