Lawn Dart! AI

Make your product work with Claude, ChatGPT, and Gemini.

I build agent-ready interfaces — Model Context Protocol (MCP) servers that let AI agents actually use your product. Built secure-by-default by a network and security engineer, because an agent interface done wrong is a data breach with a friendly UI.

Now booking Agent-Ready Assessments — live demo & free readiness report coming soon.

“MCP done wrong is a data breach with a friendly UI.”

Giving an AI agent access to your product means giving it real reach — into your data, your customers, and your systems. Most MCP tutorials hand-wave the part that matters: what the agent can touch, who it's acting as, and what happens when it's wrong.

That's the part I lead with. I'm a network and security engineer, so I scope tools tightly, design auth and rate limits in from the start, and plan for the failure modes before anything ships — so your agent interface is one you can actually trust in production.

Three ways to get there

Start with a plan, build the real thing, and keep it running. Pick the rung that fits where you are.

Start here.

Agent-Ready Assessment

$750 flat

I map your public surface (API, site, data) and hand you a written plan for what to expose to agents, what to lock down, and what it would take to build. No obligation to build with me.

Book the Assessment

The real thing.

MCP Build

$2,500 – $15,000

A production MCP server for your product — scoped tools, auth, and rate limits designed in from the start. Connects your product to Claude, ChatGPT, and Gemini.

Talk Through a Build

Keep it running.

Managed MCP

Monthly + SLA

Hosting, monitoring, security patching, and spec upkeep as the protocol evolves — with an SLA. Recommended as the default: an agent interface is infrastructure, not a one-off.

Ask About Managed

Fastest start

Read-only MCP in a week — ~$2,500–3,500

A tightly-scoped, read-only MCP server over your existing data — the low-risk way to see agents working with your product before committing to a full build.

Start Read-Only

What does “agent-ready” actually mean?

AI assistants like Claude and ChatGPT can now use outside tools — but only if those tools speak a language they understand. The Model Context Protocol (MCP) is that language: a standard way to expose your product so an agent can look things up, take actions, and answer questions on your behalf.

“Agent-ready” just means your business is set up to be used this way — safely. If a customer asks their AI assistant to book with you, check an order, or pull a report, an agent-ready product can answer. Most can't yet. That's the opening.

Want the no-jargon version of everything I do? Read it in plain English →

Coming soon

Two things I'm building for this lane. Drop your email and I'll tell you the moment they're live.

Coming soon

Live public demo

Connect a real Lawn Dart! MCP server to Claude in about 60 seconds and watch an agent use it — the fastest way to understand what agent-ready feels like.

Coming soon

Free agent-readiness report

Drop in your website or Google Business Profile and get an automated report on how agent-ready your business's public surface is — and where the quick wins are.

Curious whether your product is agent-ready?

Book a $750 Agent-Ready Assessment and I’ll map exactly what it would take — safely — to make your product work with Claude, ChatGPT, and Gemini.

Schedule a Consultation