Housecall Pro MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Housecall Pro through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"housecall-pro": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Housecall Pro, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Housecall Pro through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
The Housecall Pro MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 LangChain via MCP
Follow these steps to integrate the Housecall Pro MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Housecall Pro via MCP
Why Use LangChain with the Housecall Pro MCP Server
LangChain provides unique advantages when paired with Housecall Pro through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Housecall Pro MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Housecall Pro queries for multi-turn workflows
Housecall Pro + LangChain Use Cases
Practical scenarios where LangChain combined with the Housecall Pro MCP Server delivers measurable value.
RAG with live data: combine Housecall Pro tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Housecall Pro, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Housecall Pro tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Housecall Pro tool call, measure latency, and optimize your agent's performance
Housecall Pro MCP Tools for LangChain (10)
These 10 tools become available when you connect Housecall Pro to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Housecall Pro to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHousecall Pro + LangChain FAQ
Common questions about integrating Housecall Pro MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.