How to Use the Timeero MCP in Mastra AI

Automate field payroll workflows and mileage verification with Mastra AI and the Timeero MCP Server.

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Connect Timeero MCP to Mastra AI

Create your Vinkius account to connect Timeero to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Timeero with Mastra AI

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Build Resilient Payroll Workflows in Mastra AI

Manual payroll audits are a massive time sink, but you can automate them using Mastra AI workflows. With this MCP Server, your Mastra agent can run scheduled runs that call `list_timeero_timesheets` to gather raw hours and mileage logs. If a call fails, Mastra's built-in retry engine handles it automatically. The workflow then uses `list_timeero_users` and `get_timeero_user` to match those hours to specific employee profiles. This completely automates the discrepancy flagging process in your Mastra AI pipeline before any data hits accounting.

Automate Schedule Auditing and Task Checks

Keep your field operations aligned with your budget by automating shift audits in Mastra AI. The agent pulls shift allocations using `list_timeero_schedules` and compares them to actual clock-ins to flag unauthorized overtime. It can dive into specific details by invoking `get_timeero_schedule` or `get_timeero_task` to see exactly which tasks were assigned versus what was actually worked. Mastra AI handles these multi-step checks sequentially, making sure every Timeero shift matches your company policies. This prevents costly labor budget overruns before they happen.

Verify Jobs and GPS Telemetry Instantly

When field workers submit mileage, Mastra AI workflows can instantly verify they were actually on-site. The agent runs `check_timeero_status` to ensure connection, then fetches active projects using `list_timeero_jobs`. It then pulls `get_timeero_job` and `list_timeero_tasks` to match GPS telemetry against geofenced locations. If a mismatch occurs, it pulls the individual record via `get_timeero_timesheet` and flags it for human review. This keeps your Mastra AI automated dispatch system completely accurate and tamper-proof.

Setup guide

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

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

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

Mastra's workflow engine has built-in exponential backoff. When querying timesheets across hundreds of employees, it automatically pauses and retries if the Timeero API returns a rate-limiting status.

Yes. You can use Mastra's human-in-the-loop feature to halt a workflow when a discrepancy is found, requiring a manager to sign off before completing the audit.

Install the Mastra MCP package, instantiate the client with your Vinkius endpoint URL, and register the tools. The client automatically handles connection protocols like SSE or Streamable HTTP.

Yes. You can build a workflow that periodically checks active jobs and matches GPS coordinates against active projects, alerting managers if someone clocks in outside the geofenced boundary.

Yes. Vinkius runs the MCP Server in an isolated, zero-trust sandbox. Your employee GPS coordinates, timesheet data, and API keys are processed ephemerally and never stored on the platform.

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