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EZ Lawn Biller MCP server for ChatGPT and Claude

Connect EZ Lawn Biller to ChatGPT, Claude and other AI agents through Cotlet. Work with routes, customer records, visit history and payments in your own signed-in account. Cotlet is independent and not affiliated with EZ Lawn Biller. If EZ Lawn Biller offers an official API for your needs, we recommend it.

What you can ask

Show the customers with past-due balances.

Prepare changes to the stops I name in a private schedule draft and ask me before publishing.

Record the cash payment I provide, with its amount, reference and date. Ask me before saving.

Related MCP server: contractor-plus-mcp

Connect in 2 minutes

Get your API key at https://cotlet.dev/app and export it as COTLET_API_KEY.

ChatGPT

Settings → Apps → add connector URL https://cotlet.dev/mcp/v1, then sign in with Cotlet.dev. No API key needed.

Claude Code

claude mcp add --transport http cotlet https://cotlet.dev/mcp/v1 --header "Authorization: Bearer $COTLET_API_KEY"

Cursor

Copy .cursor/mcp.json from this repo into your project:

{
  "mcpServers": {
    "cotlet": {
      "url": "https://cotlet.dev/mcp/v1",
      "headers": {
        "Authorization": "Bearer ${COTLET_API_KEY}"
      }
    }
  }
}

Run it locally (stdio)

This repo is a real MCP server. It speaks MCP over stdio, lists its EZ Lawn Biller tools without any key, and forwards every tool call to the hosted Cotlet.dev server. The hosted URL above stays the recommended way. Use this when your client only starts local servers.

{"mcpServers": {"ez-lawn-biller": {"command": "python3", "args": ["/absolute/path/to/ez-lawn-biller-mcp/ez_lawn_biller_agent.py", "serve"], "env": {"COTLET_API_KEY": "your-key"}}}}

Or with Docker:

docker build -t ez-lawn-biller-mcp .
docker run -i --rm -e COTLET_API_KEY ez-lawn-biller-mcp

Tools: ez_lawn_biller_guide, ez_lawn_biller_status, ez_lawn_biller_open, ez_lawn_biller_read, ez_lawn_biller_click, ez_lawn_biller_type, ez_lawn_biller_close. Without COTLET_API_KEY a tool call answers: "Set COTLET_API_KEY. Get a key at https://cotlet.dev/app".

Command line

Python 3.10+, nothing else to install. Run from this repo:

export COTLET_API_KEY="your-key"
python3 ez_lawn_biller_agent.py connect   # ready config for Claude Code, Cursor, ChatGPT
python3 ez_lawn_biller_agent.py status    # is EZ Lawn Biller ready in your Cotlet.dev account
python3 ez_lawn_biller_agent.py guide     # EZ Lawn Biller screens and sign-in link
python3 ez_lawn_biller_agent.py read      # open EZ Lawn Biller, read the page, close the browser
python3 ez_lawn_biller_agent.py tools     # list Cotlet.dev tools
python3 ez_lawn_biller_agent.py serve     # start the stdio MCP server (same as no argument)

Questions from EZ Lawn Biller users

How do I connect EZ Lawn Biller to ChatGPT or Claude?

Sign up at cotlet.dev, log in to EZ Lawn Biller once in its Cloud Browser and add Cotlet to ChatGPT or Claude, following the steps in your console. No API key is needed. ChatGPT and Claude then work in your EZ Lawn Biller account through Cotlet, in their phone apps too.

Can ChatGPT reschedule lawn visits in EZ Lawn Biller?

ChatGPT moves the stops you name in a private schedule draft and publishes it after you approve, so technicians' phones get the new routes.

Can ChatGPT record a payment in EZ Lawn Biller?

ChatGPT records the cash or check payment you give it, with amount, method, reference and date, on the customer's account.

Can ChatGPT send past-due notices in EZ Lawn Biller?

ChatGPT selects the customers who owe you, previews each personalized notice and sends them with their statements after you approve the run.

Is Cotlet affiliated with EZ Lawn Biller?

No. Cotlet is independent and not affiliated with EZ Lawn Biller.

Find it on


More: https://cotlet.dev/integrations/ez-lawn-biller-api-mcp-server?utm_source=github&utm_medium=readme&utm_campaign=ez-lawn-biller

Request access: https://cotlet.dev/signup?app=ez-lawn-biller&utm_source=github&utm_medium=readme&utm_campaign=ez-lawn-biller

Available Tools

7 tools
ez_lawn_biller_clickB

Click a numbered element on the current EZ Lawn Biller page.

Inputs: element (required).

ez_lawn_biller_closeA

Close the EZ Lawn Biller browser session when the work is done, so credits stop running.

Inputs: no named parameters.

ez_lawn_biller_guideA

How to work in EZ Lawn Biller (plan lawn routes, record payments and review past-due accounts): its screens and the sign-in link. Call this first.

Inputs: task.

ez_lawn_biller_openB

Open a EZ Lawn Biller page in your signed-in Cloud Browser (default https://landlord.app.ezlawnbiller.com) to work with plan lawn routes, record payments and review past-due accounts.

Inputs: url.

ez_lawn_biller_readA

Read the current EZ Lawn Biller page: its text and numbered buttons, links and fields.

Inputs: element.

ez_lawn_biller_statusB

Check that your Cotlet.dev account and EZ Lawn Biller are ready: account, credits and EZ Lawn Biller connection.

Inputs: no named parameters.

ez_lawn_biller_typeB

Type text into a numbered field on the current EZ Lawn Biller page.

Inputs: text (required), element (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.7/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct role in a browser-automation workflow: guide, status check, open session, read page, click, type, and close. There is no meaningful overlap between them, so an agent can select the right tool without confusion.

    Naming Consistency5/5

    All seven tools use the same snake_case ez_lawn_biller_ prefix followed by a short action label. Although 'guide' and 'status' are noun-like rather than pure verbs, the overall convention is highly predictable and consistent.

    Tool Count5/5

    Seven tools is a well-scoped set for a browser-driven billing app: enough to cover orientation, session lifecycle, reading, and interaction without bloat. Each tool earns its place in the workflow.

    Completeness4/5

    The surface covers the essential browser automation lifecycle: guidance, readiness check, open, read, click, type, and close. Minor gaps exist around navigation (back/forward), scrolling, or explicit form submission, but these are largely workable through read/click/type.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

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