How to Use the Giddyup MCP in Mastra AI

Q: How do I load Giddyup tools into Mastra AI?

Install @mastra/mcp@latest. Configure new MCPClient with your Vinkius server URL. Call mcpClient.listTools() and spread the result into your agent's tool array.

Q: Can I require human approval before Giddyup creates a job in Mastra AI?

Yes. Set requireToolApproval to true for createjob. Mastra pauses the workflow and waits for a dispatcher to click approve before executing the API call.

Q: Does Mastra AI automatically retry failed Giddyup updates?

It does. If updatejob hits a rate limit or network timeout, the workflow engine automatically retries. You configure the exact backoff intervals in your agent setup.

Q: How do I handle pagination for customer lists?

The listcustomers tool returns paginated results. Your Mastra workflow can loop through the cursors automatically until it processes the entire database.

Automate field service workflows. Connect Giddyup to Mastra AI for reliable job dispatching and route management.

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Build resilient Giddyup dispatch workflows

Mobile networks drop out constantly. If you try to assign a job and the connection fails, Mastra AI catches the error. It uses exponential backoff to retry the `update_job` command until it goes through. You can script complex conditional logic. If `list_users` shows no available technicians, the workflow branches. It automatically queues the request and waits for a status change instead of throwing a generic error.

Automate billing with Mastra AI

Field techs hate doing paperwork. Set up an agent that watches for completed work orders using `get_job`. Once the status flips to done, the agent pulls the client file via `get_customer`. It then cross-references `list_invoices` to ensure a duplicate bill does not exist. If the account is clear, the agent generates the final invoice. You can require human approval in Mastra before the final send.

Connect sales to field operations

When a new construction inquiry comes in, your agent runs it through `list_leads` to check for prior history. This MCP integration lets you qualify the prospect before routing them to an estimator. If the project fits your criteria, the system calls `update_lead` to escalate the priority. Mastra handles this entire sequence in the background, deploying directly to your cloud infrastructure.

Setup guide

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

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

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

Install `@mastra/mcp@latest`. Configure `new MCPClient` with your Vinkius server URL. Call `mcpClient.listTools()` and spread the result into your agent's tool array.

Yes. Set `requireToolApproval` to true for `create_job`. Mastra pauses the workflow and waits for a dispatcher to click approve before executing the API call.

It does. If `update_job` hits a rate limit or network timeout, the workflow engine automatically retries. You configure the exact backoff intervals in your agent setup.

The `list_customers` tool returns paginated results. Your Mastra workflow can loop through the cursors automatically until it processes the entire database.

The server processes technician locations and schedules via `list_users` and `list_jobs`. Vinkius isolates this execution in an ephemeral sandbox. No data persists on our infrastructure once the workflow completes.

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