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FieldAware MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect FieldAware through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "fieldaware": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "FieldAware Agent",
    instructions:
      "You help users interact with FieldAware " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with FieldAware?"
  );
  console.log(result.text);
}

main();
FieldAware
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About FieldAware MCP Server

FieldAware is a comprehensive field service management platform. This MCP server allows your AI agent to interact with your FieldAware account flawlessly.

Mastra's agent abstraction provides a clean separation between LLM logic and FieldAware tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

Key Features

  • Job Orchestration — List all active jobs and fetch detailed metadata for specific work orders natively.
  • Customer Intelligence — Access customer profiles and contact details to personalize service interactions flawlessly.
  • Invoice Management — Retrieve and inspect invoices to stay updated on billing and payments synchronously.
  • Asset Tracking — List managed assets and equipment to ensure your field team has the right context natively.
  • Quote & Item Access — Query active quotes and your product/service catalog flawlessly through the agent.
  • Identity Verification — Verify the authorized user and permissions for the current API key flawlessly.

The FieldAware MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect FieldAware to Mastra AI via MCP

Follow these steps to integrate the FieldAware MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from FieldAware via MCP

Why Use Mastra AI with the FieldAware MCP Server

Mastra AI provides unique advantages when paired with FieldAware through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add FieldAware without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every FieldAware tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

FieldAware + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the FieldAware MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query FieldAware, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed FieldAware as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query FieldAware on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using FieldAware tools alongside other MCP servers

FieldAware MCP Tools for Mastra AI (12)

These 12 tools become available when you connect FieldAware to Mastra AI via MCP:

01

create_job

Create a new job

02

get_customer

Get details for a specific customer

03

get_invoice

Get details for a specific invoice

04

get_job

Get details for a specific job

05

get_whoami

Identify the user associated with the current API key

06

list_assets

List all assets

07

list_contacts

List all contacts

08

list_customers

List all customers

09

list_invoices

List all invoices

10

list_items

List all items (products/services)

11

list_jobs

List all jobs

12

list_quotes

List all quotes

Example Prompts for FieldAware in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with FieldAware immediately.

01

"List all my active jobs in FieldAware."

02

"Show me the contact info for customer ID 12345."

03

"Check if there are any unpaid invoices."

Troubleshooting FieldAware MCP Server with Mastra AI

Common issues when connecting FieldAware to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

FieldAware + Mastra AI FAQ

Common questions about integrating FieldAware MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect FieldAware to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.