How to Use the Housecall Pro MCP in OpenAI Agents SDK

Q: How do I connect the Housecall Pro MCP Server to OpenAI Agents SDK?

Install the package with pip install openai-agents. Initialize MCPServerStreamableHttp with your endpoint URL. Pass the server instance to the mcpservers array in your Agent constructor.

Q: Does Housecall Pro work with OpenAI Agents SDK guardrails?

Yes. The SDK intercepts calls to tools like getjob or listinvoices before execution. You define the safety constraints, and the framework blocks any action that violates your business rules.

Build production field service agents with OpenAI Agents SDK that manage jobs and invoices safely.

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Connect Housecall Pro MCP to OpenAI Agents SDK

Create your Vinkius account to connect Housecall Pro to OpenAI Agents SDK 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 Housecall Pro with OpenAI Agents SDK

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Your agent pulls the schema directly from the MCP Server on startup. Set `cacheToolsList=True` in your configuration, and OpenAI Agents SDK maps out exactly how to interact with the API. You get instant access to `list_jobs` and `get_job` without writing custom integration code. Handoffs work naturally here. One specialized agent runs `list_technicians` to find available staff, then passes the context to a dispatch agent that updates the schedule. Built-in guardrails validate the inputs before the agent actually commits the job.

Read estimates and generate invoices

Pulling pending quotes using `list_estimates` keeps your billing accurate. Your agent grabs the initial estimate and compares it against the final work order. If the numbers match, it prepares the billing data for approval. Triggering `list_invoices` pulls historical billing records for context. The OpenAI dashboard traces every API call the agent makes. You see exactly what data the model read before it decided to bill the customer.

Sync customer records and price lists

Reading the current catalog via `list_price_list_items` ensures technicians quote active rates. Your agent checks the live database to stop reps from promising outdated prices on new jobs. When a new call comes in, the system checks `get_customer` or `list_customers` to pull service history. The agent knows exactly what equipment the client has before the truck ever rolls.

Setup guide

Set up Housecall Pro MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Housecall Pro tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Housecall Pro tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Housecall Pro tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Housecall Pro Agent",
            instructions="You have access to Housecall Pro tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install the package with `pip install openai-agents`. Initialize `MCPServerStreamableHttp` with your endpoint URL. Pass the server instance to the `mcp_servers` array in your Agent constructor.

The current Housecall Pro MCP tools focus on reading data. Your agent pulls schedules via `list_jobs` and checks staff availability with `list_technicians`. Writing new jobs requires a different endpoint.

Yes. The SDK intercepts calls to tools like `get_job` or `list_invoices` before execution. You define the safety constraints, and the framework blocks any action that violates your business rules.

The MCP protocol handles the underlying pagination structure automatically. When your agent calls `list_customers`, it receives the standard cursor data, which the language model uses to request the next page.

This connection processes sensitive billing addresses and customer contact details. Vinkius runs the server in an ephemeral V8 Isolate Sandbox. The environment destroys itself after the agent disconnects, leaving zero residual data behind.

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