Bring Lawn Care
to OpenAI Agents SDK
Learn how to connect TurfHop to OpenAI Agents 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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 12 tools from TurfHop through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries TurfHop, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
TurfHop in OpenAI Agents SDK
TurfHop and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect TurfHop to OpenAI Agents 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 OpenAI Agents 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 OpenAI Agents 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 OpenAI Agents SDK
Every tool call from OpenAI Agents 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 OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.