How to Use the Housecall Pro MCP in Google ADK
Connect Gemini agents to the Housecall Pro MCP Server using Google ADK for enterprise field service operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Housecall Pro MCP to Google ADK
Create your Vinkius account to connect Housecall Pro 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.
Feed job histories into Gemini
Pulling hundreds of past work orders using `list_jobs` feeds directly into Gemini's massive context window. The model retains the entire service history for a neighborhood or commercial client. You no longer have to chunk or summarize old dispatch records. Binding the MCP Server to your agent requires the `McpToolset` class. The agent cross-references active jobs with `list_technicians` to map out seasonal demand patterns without losing the thread.
Cross-reference invoices with BigQuery
Grabbing the latest field service billing data with `list_invoices` lets you cross-reference records against BigQuery. Enterprise teams already have their financial data in Google Cloud. Your agent pulls the operational data and matches it against the warehouse. You track discrepancies instantly. If a technician quotes a job using `list_estimates`, the agent checks historical material costs in Vertex AI before approving the margin.
Map out customer service networks
Hitting `get_company` pulls the core business profile for commercial account management. The agent iterates through `list_customers` to map out every franchise location associated with the main account. Google ADK lets you pass a `tool_names` filter to the toolset. If you only want the agent reading price books, you expose `list_price_list_items` and block the rest of the endpoints.
Set up Housecall Pro MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Housecall Pro tools in your ADK agent.
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="Housecall Pro_agent",
model="gemini-2.0-flash",
instruction="You have access to Housecall Pro tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Housecall Pro. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Housecall Pro MCP in Google ADK
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