Housecall Pro MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Housecall Pro through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Housecall Pro "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Housecall Pro?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Housecall Pro MCP Server
Connect your AI agents to Housecall Pro to streamline your home service business. This MCP server allows you to list and manage jobs, track customer details, view estimates, monitor invoices, and see your team of technicians directly through the Housecall Pro API. Ideal for automating scheduling and billing workflows.
Pydantic AI validates every Housecall Pro tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
The Housecall Pro MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Housecall Pro to Pydantic AI via MCP
Follow these steps to integrate the Housecall Pro MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Housecall Pro with type-safe schemas
Why Use Pydantic AI with the Housecall Pro MCP Server
Pydantic AI provides unique advantages when paired with Housecall Pro through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Housecall Pro integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Housecall Pro connection logic from agent behavior for testable, maintainable code
Housecall Pro + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Housecall Pro MCP Server delivers measurable value.
Type-safe data pipelines: query Housecall Pro with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Housecall Pro tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Housecall Pro and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Housecall Pro responses and write comprehensive agent tests
Housecall Pro MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Housecall Pro to Pydantic AI via MCP:
get_company
Gets your company information
get_customer
Retrieves details for a specific customer
get_job
Retrieves details for a specific job
list_customers
Lists customers
list_estimates
Lists estimates sent to customers
list_invoices
Lists invoices
list_jobs
Lists service jobs
list_price_list_items
Lists items in your price list
list_technicians
Lists technicians/employees
list_webhooks
Lists configured webhooks
Example Prompts for Housecall Pro in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Housecall Pro immediately.
"List all active jobs for today in Housecall Pro."
"Show me details for customer ID 789."
"Check for unpaid invoices."
Troubleshooting Housecall Pro MCP Server with Pydantic AI
Common issues when connecting Housecall Pro to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHousecall Pro + Pydantic AI FAQ
Common questions about integrating Housecall Pro MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Housecall Pro with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Housecall Pro to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.