Housecall Pro MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Housecall Pro as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Housecall Pro. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Housecall Pro?"
)
print(response)
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.
LlamaIndex agents combine Housecall Pro tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
The Housecall Pro MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Housecall Pro MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Housecall Pro MCP Server
LlamaIndex provides unique advantages when paired with Housecall Pro through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Housecall Pro tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Housecall Pro tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Housecall Pro, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Housecall Pro tools were called, what data was returned, and how it influenced the final answer
Housecall Pro + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Housecall Pro MCP Server delivers measurable value.
Hybrid search: combine Housecall Pro real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Housecall Pro to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Housecall Pro for fresh data
Analytical workflows: chain Housecall Pro queries with LlamaIndex's data connectors to build multi-source analytical reports
Housecall Pro MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Housecall Pro to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Housecall Pro to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHousecall Pro + LlamaIndex FAQ
Common questions about integrating Housecall Pro MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.