How to Use the Housecall Pro MCP in Mastra AI

Build reliable field service workflows for Mastra AI with this Housecall Pro MCP server.

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Connect Housecall Pro MCP to Mastra AI

Create your Vinkius account to connect Housecall Pro to Mastra AI 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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Setup Housecall Pro with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated technician scheduling logic

Construct complex branching workflows that react to technician availability. If a slot opens, the agent can reassign or notify staff automatically. Use `list_technicians` to check who is free and `get_job` to verify the scope of work before updating the schedule.

Conditional invoice and estimate workflows

Set up automated retries and error handling for your billing processes. If an invoice fails to generate, have your agent verify the price list first. Use `list_price_list_items` to ensure accuracy and `list_invoices` to confirm the final document status.

Robust webhook management for Housecall Pro

Listen for service updates and trigger secondary actions in your backend. This keeps your external systems in sync with field activity. Use `list_webhooks` to verify your current endpoints and ensure your agents are listening for the right service triggers.

Setup guide

Set up Housecall Pro MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Housecall Pro tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "housecall-pro-mcp-client",
  servers: {
    "housecall-pro-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Housecall Pro Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Housecall Pro tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Housecall Pro transactions"
);
console.log(result.text);

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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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Housecall Pro MCP in Mastra AI

Use the built-in workflow engine to define retry logic for any tool call. If the API hits a limit, your agent handles the backoff automatically.

Yes, simply pass the server URL to your client definition. The agent detects the tools and makes them available for your workflow steps.

Enable the approval flag in your agent config to pause execution. This is useful for sensitive actions like sending a final invoice to a client.

It integrates directly into your agent tools array. You can chain `get_customer` into `list_estimates` for multi-step service interactions.

The server operates in a zero-trust sandbox. Every interaction with your customer invoices and job records is encrypted and discarded after the task completes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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