How to Use the HCSS MCP in Mastra AI

Q: Can Mastra AI handle HCSS pre-construction project routing?

Yes, Mastra uses listpreconprojects to drive your business development pipelines. The workflow engine evaluates project stages and assigns tasks to estimators as soon as a new project appears in the HCSS database.

Q: How do I require manual approval for HCSS timecard updates?

Set the requireToolApproval flag on the agent tool configuration for listtimecards. The agent will pause its workflow and wait for a webhook confirmation before committing any payroll data to your ERP.

Build automated HCSS workflows with Mastra AI to handle heavy construction jobs, equipment tracking, and timecard retries.

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Connect HCSS MCP to Mastra AI

Create your Vinkius account to connect HCSS 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 HCSS with Mastra AI

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Automate fleet meter updates with Mastra AI

`get_equipment_meters` retrieves current odometer and hour-meter readings from your HCSS fleet to trigger preventive maintenance workflows. Mastra AI uses these metrics to evaluate custom logic steps via the MCP protocol, routing alerts if an excavator exceeds its service interval. If the telematics API drops, the framework runs automatic retries with exponential backoff. This ensures your maintenance logs update reliably without manual developer intervention or lost telemetry records.

Build multi-step job costing pipelines

`list_jobs` acts as the entry point for your Mastra AI agents to audit project financial health across all active job sites. The agent pulls job IDs, then queries `list_cost_codes` to compare field expenditures against estimated budgets. Set up conditional branching to flag any project running 10% over budget. The workflow engine automatically triggers a sub-agent to investigate the specific cost codes causing the overrun, keeping your CFO informed.

Run human-in-the-loop payroll with this MCP Server

`list_timecards` extracts daily labor records from HeavyJob so your Mastra AI workflows can run automated pre-payroll audits. The framework matches hours against `list_employees` to catch missing records or overtime anomalies. Using the framework's manual approval feature, the system halts execution when it detects a discrepancy. It sends a Slack notification to the superintendent, resuming only after they authorize the corrected timecard data.

Setup guide

Set up HCSS 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 HCSS 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: "hcss-mcp-client",
  servers: {
    "hcss-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent HCSS 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 HCSS. 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 HCSS MCP in Mastra AI

Instantiate the MCP client pointing to your Vinkius server and register the tools with your Mastra agent. Use `get_equipment_meters` inside a workflow step to trigger automated maintenance alerts based on actual hour changes.

Yes, Mastra uses `list_precon_projects` to drive your business development pipelines. The workflow engine evaluates project stages and assigns tasks to estimators as soon as a new project appears in the HCSS database.

The server relies on Mastra's built-in queue system and retry logic. When querying heavy datasets like `list_equipment`, the framework queues requests and handles rate-limiting headers to prevent blocked API keys.

Set the `requireToolApproval` flag on the agent tool configuration for `list_timecards`. The agent will pause its workflow and wait for a webhook confirmation before committing any payroll data to your ERP.

Vinkius processes all data through zero-trust, ephemeral MCP connections that destroy session data immediately after execution. Your bidding estimates and fleet hours are encrypted in transit and never stored on external servers.

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