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How to Use the FieldAware MCP in Mastra AI

Build complex field service workflows with Mastra AI and this MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect FieldAware MCP to Mastra AI

Create your Vinkius account to connect FieldAware 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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Automated dispatch logic

Chain `list_jobs` with `create_job` inside your workflow agent. If a job isn't assigned, the agent automatically triggers a new dispatch request. Set up conditional branches to check `list_items` first. If parts are missing, the agent halts the process and notifies your team instead of wasting a truck roll.

Fail-safe job management

Implement retries with exponential backoff for `get_job` calls. If the API hits a limit or drops, the agent waits and tries again automatically. Use human-in-the-loop approvals for high-value quotes. Your agent pauses execution until a human triggers the next step after reviewing `list_quotes`.

Customer record syncing

Keep your CRM consistent by running `list_customers` and `get_customer` inside your background tasks. The agent updates your internal database when it detects new contacts. This keeps your records clean without manual input. The agent handles the back-and-forth between systems while you focus on the operation.

Setup guide

Set up FieldAware 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All FieldAware tools become native Mastra tools.

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FieldAware. 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.

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 FieldAware MCP in Mastra AI

Use the built-in retry logic within your workflow steps. You can define specific triggers to catch issues when calling tools like `create_job`.
Enable requireToolApproval in your client config. This forces the agent to wait for your sign-off before it executes a command.
It does. You can call these tools inside your agent's background workflows to manage jobs and invoices while the user is away.
The server respects the rate limits of your API key. You should implement queueing in your workflow if you expect high traffic volumes.
The connection is ephemeral and encrypted. Your financial records are only accessed during the execution of your defined workflows.

Start using the FieldAware MCP today

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Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for FieldAware. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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