TurfHop MCP for AI. Manage Field Service Jobs and Billing from Chat

Q: How do I check job statuses using TurfHop MCP Server?

Run listjobs to see every current and past assignment. If you need details on a single, specific service call, use the getjob tool with the corresponding ID.

Q: Can I create new customers using TurfHop MCP Server?

Yes, just run createcustomer. You pass the client data as a JSON string, and it builds the record right away. This is useful when you sign up a brand new site.

Q: What tools do I use to check overdue invoices?

Start with listinvoices to get an overview of everything due. If you need details on one specific invoice, run getinvoice and provide the number.

Q: How does TurfHop MCP Server help me schedule a job?

You call createjob. You must pass all necessary JSON parameters—client ID, service type, date. This tool makes sure the assignment is logged correctly in your system.

Q: Is there a way to see what services I can offer?

Use listproducts. It pulls up every product and service listed in your catalog, so you don't have to remember the SKUs or pricing manually.

Q: Using the TurfHop MCP Server, how do I check a specific customer's complete profile details?

You use the getcustomer tool and pass in the customer ID. This pulls all current records, including service history and contact information, without listing every single client.

Q: What is the best way to track potential future job costs using TurfHop MCP Server?

The listquotes tool lets you view all quotes. This helps you monitor services that haven't become paid invoices yet, keeping your cash flow projections accurate.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

TurfHop connects your field service operations—lawn care, landscaping, and groundskeeping—directly to your AI client. Manage customer records, schedule jobs, check invoices, and plan routes all from natural conversation.

It centralizes billing, job status updates, and service history retrieval for any physical work site.

What your AI can do

Create customer

Creates a new client record in the system using structured JSON data.

Create job

Schedules and assigns a brand new service job to a client.

Get customer

Retrieves all specific details for a single customer ID.

+ 9 more capabilities included

Check and manage all customer accounts

Retrieve complete client profiles, search by name or ID, and create new records using tools like get_customer and create_customer.

Schedule and update field jobs

Create new service assignments (create_job), list all active jobs (list_jobs), and get specific details for any job ID (get_job).

Monitor invoicing and quotes

Pull lists of pending invoices and quotes, or fetch the full details of a single invoice using list_invoices and get_invoice.

List available services and products

Browse your entire service catalog to check pricing and availability via the list_products tool.

Keep client data accurate

Update existing customer information or job statuses directly through AI prompts using update_customer and update_job.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

TurfHop MCP Server: 12 Tools for Field Service Management

Use these tools to manage the entire lifecycle of a service job—from initial customer contact and scheduling to billing and final invoicing.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using TurfHop on Vinkius

Create Customer

Creates a new client record in the system using structured JSON data.

Create Job

Schedules and assigns a brand new service job to a client.

Get Customer

Retrieves all specific details for a single customer ID.

Get Invoice

Pulls the complete records and line items for one invoice number.

Get Job

Fetches all operational details related to a specific service job ID.

List Customers

Provides a list of every customer currently in the TurfHop database.

List Invoices

Generates a summary list of all invoices, showing status and amounts due.

List Jobs

Shows a comprehensive listing of every active and past service job assignment.

List Products

Lists all services, materials, and products offered by the business for pricing...

List Quotes

Retrieves a summary list of pending quotes that need client approval or conversion...

Update Customer

Modifies existing customer contact details or operational records.

Update Job

Changes the status, assigned worker, or scope of an already scheduled job.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The TurfHop integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "turfhop": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the TurfHop tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"turfhop": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with TurfHop, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TurfHop. 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.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Coordinating field service jobs shouldn't feel like juggling three different dashboards.

Today, managing a single client visit means clicking into the CRM (for contact info), jumping to the scheduler (to see job availability), and then opening the billing portal (to confirm payment status). It’s context switching hell. You copy IDs here, paste them there, and half the time, you're working with stale data.

With this MCP server, your AI agent handles all that jumping around for you. You just tell it: 'What services are needed at 123 Oak Street.' The agent calls `get_customer` to verify details, checks `list_jobs` for conflicts, and pulls service rates from `list_products`. It gives you one answer.

TurfHop MCP Server: Get the full job status instantly.

Manual tracking involves printing out paper work orders that get lost, relying on phone calls to confirm if a job was actually completed, and then manually updating the spreadsheet. It's slow and error-prone.

The moment you connect this server, your AI agent runs `get_job` or `list_jobs`. You stop guessing what happened last week; you get the definitive status right now.

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What your AI can actually do with this

You run a field service business—landscaping, lawn care, groundskeeping. You don't want to jump into the full TurfHop app just to check an invoice or schedule a trim job. This MCP server hooks your AI client directly into your operations. It lets you handle everything from scheduling and billing to customer history retrieval using only natural conversation.

When you talk to your agent, it treats all twelve available functions like tools. You ask what you need—'What jobs are due next week?'—and the agent calls list_jobs and formats the data for you immediately. It centralizes billing details, job status updates, and service history for every physical site.

Managing Your Client Accounts.

You can check out your entire client roster anytime by calling list_customers. Need something specific? Use get_customer to pull up all the details for a single client ID. If you're working with a brand-new property, just run create_customer, feeding it structured JSON data to build the record straight away. If a customer moves or changes their phone number, you simply use update_customer; it modifies existing contact details without touching anything else.

Scheduling and Updating Field Jobs.

To see what's on the books, run list_jobs. For deep-dive status checks, call get_job with a specific job ID to pull all operational details. If you gotta schedule work for next Tuesday, create_job handles it, assigning and booking the service right away. And if a crew needs to change their plan—maybe the scope changed or the worker got reassigned—you use update_job.

It modifies the status, assigned person, or job description of an existing assignment.

Financial Tracking: Invoices and Quotes.

You gotta keep track of the money coming in. You can get a summary list of all outstanding invoices by calling list_invoices, seeing which ones are paid and what's overdue. For the full scoop on one specific bill, run get_invoice with the invoice number to pull every line item detail.

If you’re dealing with pending work, use list_quotes to see a list of client quotes that need approval or conversion into actual invoices. These tools make sure you never lose track of where your business stands financially.

Cataloging Services and Materials.

Before you bill anything out, you gotta know what you're selling. Run list_products to browse your entire service catalog. This tool lists every service, material, and product you offer, letting you check current pricing and availability references for any job.

This setup lets you run the whole operational cycle—from finding a new client profile using create_customer or locating an old one with get_customer, scheduling the work via list_jobs and create_job, checking the materials needed using list_products, to finally confirming payment by pulling details from get_invoice. You keep everything in chat, keeping your workflow tight.

Built · Hosted · Managed by Vinkius TurfHop MCP Server - Manage Landscaping & Job Scheduling

Server ID 019dd17a-db16-7373-9d1d-40ce1cb29870

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

Here's how it actually works

The bottom line is: your AI client handles all the API calling boilerplate so you just get a direct answer in the chat window.

Subscribe to the TurfHop MCP Server and input your API key. This links your agent to all 12 available tools.

Ask your AI client a task (e.g., 'Find unpaid invoices for John Doe'). The agent translates this into multiple tool calls.

The server executes the required functions (like list_invoices then get_customer), and sends the final, clean data back to you.

Who is this actually for?

Field service owners and operations managers who are tired of jumping between job scheduling apps, billing portals, and customer databases. This is for anyone whose day involves coordinating physical teams—the person who needs to know if the mowing crew was paid yesterday or if the next cut is scheduled for Friday.

Landscaping Business Owner

Needs to check job statuses and monitor cash flow across multiple clients without logging into a dedicated dashboard.

Operations Manager

Manages team assignments, schedules new jobs using create_job, and tracks progress across the entire service area.

Administrative Staff

Handles billing cycles by listing quotes (list_quotes) and ensuring all outstanding invoices are tracked correctly via AI commands.

What Changes When You Connect

Check real-time status on all jobs. Instead of clicking through job boards, you can ask the AI agent to run list_jobs and know exactly what's active today.

Keep billing accurate. Quickly check who owes money by running list_invoices. You don't have to open the finance portal; just ask your agent.

Never lose client data again. Use get_customer or list_customers to pull up full service histories and contact details on demand, right in your workflow.

Plan ahead with quotes. Before sending an invoice, use list_quotes to see potential revenue streams and confirm pricing using list_products.

Handle changes instantly. If a job gets rescheduled or a client address changes, run update_job or update_customer directly via simple commands.

See it in action

01 01

The Billing Check:

It’s the last day of the month. The owner needs to know if any high-value jobs were missed on billing. They ask their agent, 'Show me all unpaid invoices from this quarter.' The agent calls list_invoices, filters by status, and gives a clear summary, saving hours of manual spreadsheet work.

02 02

The Emergency Job Change:

A client calls with an immediate request to change the scope of next week's service. Instead of calling the office manager, the ops manager asks their agent to run get_job by ID, review details, and then execute update_job with the new parameters. The update happens in seconds.

03 03

The New Client Onboarding:

A salesperson closes a deal on site. They use their agent to call get_customer (to check for existing records) and, if none exist, they run create_customer. Then they immediately follow up with create_job so the work gets scheduled instantly.

04 04

The Service Audit:

An administrator needs to audit service offerings. They ask their agent for 'all available services and pricing.' The agent runs list_products, pulling up a clean, categorized list they can use for training new staff or adjusting current quotes.

The honest tradeoffs

Using spreadsheets for status tracking

Anti-pattern

Manually updating job statuses across different tabs in Google Sheets. If a team member forgets to sync the change, you're working off outdated data.

The Fix

Use list_jobs to get the current roster of all assignments, and then use update_job when status or scope changes. It keeps the single source of truth inside TurfHop.

Emailing billing requests

Anti-pattern

Sending an email asking 'What was the balance for Smith Residence?' This requires manual lookups, phone calls, and chasing paper trails.

The Fix

Ask your agent to run get_customer (to see their contact info) and then immediately run list_invoices to get a definitive list of amounts owed. It's instant.

Over-complicating job scope:

Anti-pattern

Writing a massive block of text describing what needs to be done, risking missing crucial details like the exact service code or required date.

The Fix

Use create_job and pass all necessary details (like product IDs from list_products) in structured JSON. This forces accuracy.

Questions you might have

How do I check job statuses using TurfHop MCP Server? +

Run list_jobs to see every current and past assignment. If you need details on a single, specific service call, use the get_job tool with the corresponding ID.

Can I create new customers using TurfHop MCP Server? +

Yes, just run create_customer. You pass the client data as a JSON string, and it builds the record right away. This is useful when you sign up a brand new site.

What tools do I use to check overdue invoices? +

Start with list_invoices to get an overview of everything due. If you need details on one specific invoice, run get_invoice and provide the number.

How does TurfHop MCP Server help me schedule a job? +

You call create_job. You must pass all necessary JSON parameters—client ID, service type, date. This tool makes sure the assignment is logged correctly in your system.

Is there a way to see what services I can offer? +

Use list_products. It pulls up every product and service listed in your catalog, so you don't have to remember the SKUs or pricing manually.

How do I connect my AI agent to the TurfHop MCP Server? +

You first subscribe to the server and then provide your unique API key, found in your account settings. This connection establishes secure access so your AI client can run operations on behalf of you.

Using the TurfHop MCP Server, how do I check a specific customer's complete profile details? +

You use the get_customer tool and pass in the customer ID. This pulls all current records, including service history and contact information, without listing every single client.

What is the best way to track potential future job costs using TurfHop MCP Server? +

The list_quotes tool lets you view all quotes. This helps you monitor services that haven't become paid invoices yet, keeping your cash flow projections accurate.

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.

Connect to your AI in seconds.

Create customer

Create job

Get customer

TurfHop MCP Server: 12 Tools for Field Service Management

Make your AI actually useful.

Create Customer

Create Job

Get Customer

Get Invoice

Get Job

List Customers

List Invoices

List Jobs

List Products

List Quotes

Update Customer

Update Job

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Coordinating field service jobs shouldn't feel like juggling three different dashboards.

TurfHop MCP Server: Get the full job status instantly.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

The Billing Check:

The Emergency Job Change:

The New Client Onboarding:

The Service Audit:

The honest tradeoffs

Using spreadsheets for status tracking

Emailing billing requests

Over-complicating job scope:

When It Fits, When It Doesn't

Questions you might have