Bring Lawn Care
to Vercel AI SDK
Learn how to connect TurfHop to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your TurfHop API Key (found in your account settings)
3. Start managing your field services from Claude, Cursor, or any MCP client
Who is this for?
- Field Service Business Owners — quickly check job statuses and manage client records via simple AI commands.
- Operations Managers — schedule new assignments and track team progress directly from the workspace.
- Administrative Staff — monitor invoices and quotes to maintain an organized billing cycle via the AI assistant.
Built-in capabilities (12)
Pass customer data as a JSON string. Create a new customer
Pass job data as a JSON string. Create a new service job
Get customer details by ID
Get invoice details
Get job details
List all customers
List all invoices
List all service jobs
List all products and services
List all quotes
Update an existing customer
Update an existing job
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same TurfHop integration everywhere
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Built-in streaming UI primitives let you display TurfHop tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
TurfHop in Vercel AI SDK
TurfHop and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect TurfHop to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for TurfHop in Vercel AI SDK
The TurfHop 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
TurfHop for Vercel AI SDK
Every tool call from Vercel AI SDK to the TurfHop MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp