How to Use the Housecall Pro MCP in AutoGen
Coordinate complex field operations in AutoGen with multiple agents debating dispatching, invoicing, and job scheduling.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 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
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Housecall Pro tools and returns structured results.
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) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
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"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Housecall Pro_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Housecall Pro data")
print(result.messages[-1].content) 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 AutoGen
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