How to Use the TurfHop MCP in Google ADK

Q: How does TurfHop integrate job management with Google ADK?

You use the MCP Server's createjob and getjob tools. Your agent calls these functions, passing job data as JSON strings, which are then interpreted by the system.

Q: What is the process for listing all customers with TurfHop and Google ADK?

The listcustomers tool provides a complete list of your client base. This function allows your agent to ingest customer names, IDs, and basic contact info into Vertex AI.

Q: Can I update billing records using TurfHop and Google ADK?

Yes. The updatejob tool lets you modify existing service jobs, while the getinvoice tool retrieves specific financial data for review.

Q: What kind of services does TurfHop support with Google ADK?

The listproducts tool provides a comprehensive list of everything you sell—from mulch to full landscape design. Your agent can use this list to ensure accurate job quoting.

Run enterprise lawn care operations with Google ADK.

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Connect TurfHop MCP to Google ADK

Create your Vinkius account to connect TurfHop 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 TurfHop with Google ADK

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Manage Client Data and Records

The agent can manage your entire client base. You use `list_customers` to pull a master list, or if you know the ID, `get_customer` gets all the specific details. If anything changes—like an address—you update it with `update_customer`. Since this MCP Server is designed for Google ADK integration, your agent can confidently write new client records using `create_customer` knowing the data will flow into BigQuery.

Schedule and Modify Service Jobs

The full job scheduling process flows through this MCP Server. You create a whole service record with `create_job`, or if you need to change scope, use `update_job`. The agent handles the complexity of passing structured data for these operations. It also gives you visibility into available services and materials by calling `list_products`.

Generate Financial Records

Generating billing summaries is simple. The client can pull all past invoices using `list_invoices`, or check a single bill with `get_invoice`. This whole loop supports the enterprise needs of Google ADK. Your agent also tracks future revenue streams by pulling information from `list_quotes`.

Setup guide

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

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Common questions about TurfHop MCP in Google ADK

You use the MCP Server's `create_job` and `get_job` tools. Your agent calls these functions, passing job data as JSON strings, which are then interpreted by the system.

The `list_customers` tool provides a complete list of your client base. This function allows your agent to ingest customer names, IDs, and basic contact info into Vertex AI.

Yes. The `update_job` tool lets you modify existing service jobs, while the `get_invoice` tool retrieves specific financial data for review.

The `list_products` tool provides a comprehensive list of everything you sell—from mulch to full landscape design. Your agent can use this list to ensure accurate job quoting.

This MCP Server handles invoice details, specifically structured financial records used by the `get_invoice` tool. This ensures that only verified billing information is processed into BigQuery.

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