How to Use the Fieldly MCP in Mastra AI

Build resilient construction workflows in Mastra AI with automatic retries for Fieldly operations.

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Connect Fieldly MCP to Mastra AI

Create your Vinkius account to connect Fieldly 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 Fieldly with Mastra AI

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Perplexity

Automated Fieldly task sequences

Define complex construction workflows that execute `list_bookings` followed by `create_work_item` automatically. If a call drops, the Mastra AI engine retries the operation with exponential backoff so your pipeline doesn't break. This keeps your project management on track even when network conditions fluctuate. You define the workflow once, and the agent ensures each step finishes before moving to the next.

Conditional logic for Fieldly events

Set up branching paths that trigger different actions based on `get_invoice` results. If a payment status is missing, your Mastra AI agent can route the task to a manager or flag it for review. This removes manual oversight from the billing cycle. You get a reliable system that reacts to data changes in real-time, keeping your operations lean and accurate.

Human-in-the-loop for Fieldly actions

Require approval before your agent executes write-heavy tasks like `create_work_item` within Mastra AI. You maintain authority over project changes while letting the agent handle the data gathering. This balance protects your system from accidental entries. You review the agent's plan, hit approve, and the tool executes the change immediately.

Setup guide

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

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

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

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Common questions about Fieldly MCP in Mastra AI

Add the server to your Mastra configuration file. You then spread the available tools directly into your agent definition to grant it access to Fieldly data.

Yes, you can enable manual approval for any tool. This ensures you verify the data before the agent commits a change to your Fieldly account.

Mastra AI includes built-in retry logic for all tool calls. If a connection to Fieldly fails, the workflow engine handles the error according to your defined policy.

Your data is only processed during the execution of your workflow. We use ephemeral, isolated environments to ensure your sensitive construction records remain secure.

Mastra AI logs every tool call automatically. You can check these logs to see exactly what data was retrieved from the Fieldly API.

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