How to Use the Fieldly MCP in Google ADK

Q: How do I initialize the Fieldly MCP Server inside Google ADK?

Use McpToolset with StreamableHttpServerParameters pointing to your Vinkius HTTP endpoint. Pass the toolset object into the LlmAgent tools array to expose the construction endpoints to Gemini.

Q: Can Google ADK use Fieldly to update work items automatically?

Yes, your Google ADK agent can call createworkitem based on unstructured emails or project updates, instantly turning site notes into structured ERP records.

Q: How do I limit which Fieldly tools the Google ADK agent can access?

Use the toolnames parameter when defining your McpToolset to explicitly list allowed tools, such as restricting the agent to listbookings and blocking invoice tools.

Q: How is my user directory data protected during execution?

All user profiles retrieved via listusers are processed within your Google Cloud project boundaries. Vinkius secures the endpoint with single-token authentication, ensuring your employee list remains private and never leaks.

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Connect Fieldly MCP to Google ADK

Create your Vinkius account to connect Fieldly 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 Fieldly with Google ADK

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Long-Context Reasoning for Field Bookings

Gemini models thrive on massive context windows, making them perfect for scanning months of construction schedules. Feed a massive historical log into your Google ADK agent and let it run `list_bookings` to cross-reference past delays with current field technician assignments. Instead of choking on large datasets, the agent processes the entire list of jobs alongside `list_work_items` in a single prompt. It spots scheduling conflicts that shorter-context models miss, keeping your crews moving without manual intervention.

BigQuery Integration for Fieldly ERP Data

Combine your warehouse data with live field operations. Your Google ADK agent can query historical supply chain trends in BigQuery, then immediately call `list_articles` via the MCP Server to check if your active inventory matches current demand. If parts are missing, the agent uses `create_work_item` to schedule a restocking task. This bridges the gap between your cloud analytics and the actual work happening on the construction site.

Enterprise-Grade MCP Server Tool Filtering

Protect your production environment by limiting tool exposure. The Google ADK allows you to apply a `tool_names` filter to the `McpToolset`, ensuring your Gemini agent only sees safe endpoints like `get_booking` or `list_customers` while hiding financial tools. When you need to open up billing, you can spin up a separate administrative agent. That specific agent can safely access `list_invoices` and `get_invoice` to reconcile accounts without risking accidental exposure in public-facing channels.

Setup guide

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

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Common questions about Fieldly MCP in Google ADK

Use `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius HTTP endpoint. Pass the toolset object into the `LlmAgent` tools array to expose the construction endpoints to Gemini.

Yes, your Google ADK agent can call `create_work_item` based on unstructured emails or project updates, instantly turning site notes into structured ERP records.

Use the `tool_names` parameter when defining your `McpToolset` to explicitly list allowed tools, such as restricting the agent to `list_bookings` and blocking invoice tools.

Yes. While Vinkius manages the server over secure HTTP, the Google ADK supports both transport layers, letting you connect to your hosted construction tools without extra middleware.

All user profiles retrieved via `list_users` are processed within your Google Cloud project boundaries. Vinkius secures the endpoint with single-token authentication, ensuring your employee list remains private and never leaks.

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