Can I search for a customer by their name?

Yes! Use the `list_customers` tool. While it returns the full list, you can ask the AI agent to find a specific person or retrieve details for a specific ID using `get_customer`.

How do I schedule a new service job via AI?

Use the `create_job` action. You'll need to provide a JSON string containing the job details like `customer_id`, `title`, and `start_date` to register the new assignment.

Is it possible to see the payment status of an invoice?

Absolutely. Use the `get_invoice` tool and provide the Invoice ID. The agent will retrieve the complete metadata, including whether the invoice is paid, pending, or overdue.

INSTANT PLUG AND PLAY

TurfHop MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Customer, Create Job, Get Customer, and more

Name: TurfHop
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TurfHop through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The TurfHop app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript

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 TurfHop, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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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 TurfHop MCP Server

Connect your TurfHop account to any AI agent and simplify how you coordinate your field service operations, scheduling, and billing through natural conversation.

The Vercel AI SDK gives every TurfHop 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.

What you can do

Customer Management — List and search customer records, create new profiles, and retrieve complete service histories.
Job Scheduling — List all service jobs, create new assignments, and update job details or statuses programmatically.
Billing & Invoicing — Monitor your cash flow by listing invoices, quotes, and payment statuses for your services.
Service Catalog — Browse your offered products and services to identify pricing and availability.
Operational tracking — Fetch detailed metadata for specific jobs or customers to stay on top of your mobile workforce.

The TurfHop 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.

All 12 TurfHop tools available for Vercel AI SDK

When Vercel AI SDK connects to TurfHop through Vinkius, your AI agent gets direct access to every tool listed below — spanning lawn-care, scheduling, route-planning, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_customer

Pass customer data as a JSON string. Create a new customer

create_job

Pass job data as a JSON string. Create a new service job

get_customer

Get customer details by ID

get_invoice

Get invoice details

get_job

Get job details

list_customers

List all customers

list_invoices

List all invoices

list_jobs

List all service jobs

list_products

List all products and services

list_quotes

List all quotes

update_customer

Update an existing customer

update_job

Update an existing job

Connect TurfHop to Vercel AI SDK via MCP

Follow these steps to wire TurfHop into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 TurfHop and passes them to the LLM

Why Use Vercel AI SDK with the TurfHop MCP Server

Vercel AI SDK provides unique advantages when paired with TurfHop 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 TurfHop integration everywhere

Built-in streaming UI primitives let you display TurfHop 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

TurfHop + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the TurfHop MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query TurfHop in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate TurfHop tools and return structured JSON responses to any frontend

Chatbots with tool use: embed TurfHop capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with TurfHop through natural language queries

Example Prompts for TurfHop in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TurfHop immediately.

"List all active service jobs in my TurfHop account."

"Search for a customer named 'Michael Scott'."

"Show me all unpaid invoices from this month."

Troubleshooting TurfHop MCP Server with Vercel AI SDK

Common issues when connecting TurfHop to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

TurfHop + Vercel AI SDK FAQ

Common questions about integrating TurfHop MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import 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?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.