How to Use the FieldAware MCP in Vercel AI SDK

Stream real-time field service data directly into your Vercel AI SDK interface without waiting for slow loading spinners.

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Connect FieldAware MCP to Vercel AI SDK

Create your Vinkius account to connect FieldAware to Vercel AI SDK 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 FieldAware with Vercel AI SDK

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Real-time job scheduling

Feed live job updates directly into your UI components using `list_jobs`. Your users see the schedule change the moment an agent triggers a refresh. Stop relying on state management hacks. By hooking `create_job` into your stream, you push new tickets to the field as soon as a user confirms the request.

Instant financial lookups

Expose invoice data in your frontend by mapping `list_invoices` to your server-side actions. Data flows from FieldAware to the browser in one pass. Pull specific details with `get_invoice` to show line items without navigating away. It keeps the user in the flow while they review service charges.

Dynamic asset tracking

Render your equipment lists by piping `list_assets` through your standard tool calls. Your interface updates the status of hardware as the AI processes the data. Use `list_items` to cross-reference parts during a conversation. The AI client handles the data transformation, showing accurate stock counts to the end user.

Setup guide

Set up FieldAware MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all FieldAware tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent FieldAware transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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

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Common questions about FieldAware MCP in Vercel AI SDK

Initialize the client using the HTTP transport. Once connected, pass the `list_jobs` tool into your generateText call to pull the data directly.

Yes, use the authProvider setting when setting up your connection. This ensures your keys stay off the client side and remain within your secure environment.

It does. Because the tools are mapped to your streaming response, the results appear immediately as the agent completes its operation.

The MCP server returns an error object that your frontend can catch and display. You should handle these states in your UI logic to keep users informed.

Your customer records, including names and addresses, stay within your session. The server acts as a pass-through and does not store your information.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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