FieldAware MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FieldAware through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using FieldAware, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every FieldAware tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the FieldAware MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from FieldAware and passes them to the LLM
Why Use Vercel AI SDK with the FieldAware MCP Server
Vercel AI SDK provides unique advantages when paired with FieldAware through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same FieldAware integration everywhere
Built-in streaming UI primitives let you display FieldAware tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
FieldAware + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FieldAware MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FieldAware in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FieldAware tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FieldAware capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FieldAware through natural language queries
FieldAware MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect FieldAware to Vercel AI SDK via MCP:
create_job
Create a new job
get_customer
Get details for a specific customer
get_invoice
Get details for a specific invoice
get_job
Get details for a specific job
get_whoami
Identify the user associated with the current API key
list_assets
List all assets
list_contacts
List all contacts
list_customers
List all customers
list_invoices
List all invoices
list_items
List all items (products/services)
list_jobs
List all jobs
list_quotes
List all quotes
Example Prompts for FieldAware in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FieldAware immediately.
"List all my active jobs in FieldAware."
"Show me the contact info for customer ID 12345."
"Check if there are any unpaid invoices."
Troubleshooting FieldAware MCP Server with Vercel AI SDK
Common issues when connecting FieldAware to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFieldAware + Vercel AI SDK FAQ
Common questions about integrating FieldAware MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect FieldAware with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FieldAware to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.