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How to Use the Housecall Pro MCP in AutoGen

Coordinate complex field operations in AutoGen with multiple agents debating dispatching, invoicing, and job scheduling.

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Connect Housecall Pro MCP to AutoGen

Create your Vinkius account to connect Housecall Pro to AutoGen 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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Resolve scheduling conflicts through agent debate

`list_technicians` retrieves your active workforce roster so your AutoGen dispatch agent can propose assignments. If a technician is double-booked, a separate scheduling agent flags the conflict using `list_jobs` and proposes an alternative. This multi-agent debate ensures you don't send the wrong tech to an urgent call. The agents negotiate the schedule until they converge on the most efficient route.

Validate billing accuracy via AutoGen MCP Server

`list_invoices` feeds raw billing data to a financial agent tasked with checking unpaid accounts. A separate customer service agent cross-references this with `get_customer` to ensure we don't harass loyal clients over minor disputes. By letting these specialized agents debate the risk, you avoid awkward billing mistakes. They only trigger payment reminders once both agree the invoice is overdue and correct.

Approve estimates using consensus-driven logic

`list_estimates` exposes pending quotes to an estimation agent that checks them against your standard catalog using `list_price_list_items`. A supervisor agent reviews the output and demands justification if a quote deviates from the norm. This debate happens completely behind the scenes before you send anything to a client. Your team only sees the final, verified estimate that both agents signed off on.

Setup guide

Set up Housecall Pro MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 2

    Fetch tools from the MCP

    Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Housecall Pro tools and returns structured results.

agent.py
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Housecall Pro_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Housecall Pro data")
print(result.messages[-1].content)

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Common questions about Housecall Pro MCP in AutoGen

Use mcp_server_tools with your server URL to retrieve the MCP tools. Pass this tool list to your AutoGen AssistantAgent constructor, and the adapter handles the schema conversion.
Yes, you can set up a dispatch agent using list_technicians and a routing agent using list_jobs. They will negotiate the best assignments through a multi-agent conversation loop.
If a tool like list_invoices fails, the executing agent receives the error. It can then discuss the failure with other agents in the group chat to decide whether to retry or escalate.
Yes, this MCP server allows any agent in a group chat to call tools like list_webhooks or get_company. Each agent can access the tools depending on their assigned role and system instructions.
Security is managed via Vinkius's zero-trust V8 isolate sandbox. Your work orders and schedules fetched using get_job are kept isolated from other sessions and are never stored.

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