Most web traffic isn’t human.

Bots and AI assistants passed human visitors this year, and a growing share of them are out running errands for real customers. We build MCP apps: the connection that lets those assistants book appointments and place orders with your business instead of just reading your website.

The shift, in numbers

A few numbers, so you can judge for yourself how far along this actually is.

57.5%

of web requests are now automated. Bots and AI agents passed human traffic for the first time (Cloudflare, June 2026). To be fair, that counts requests rather than people, but it tells you what kind of visitor websites are actually getting now.

Every major assistant

ChatGPT, Gemini, Microsoft Copilot, and Claude all support MCP. You build one integration and it works with every one of them.

97M+

monthly downloads of the MCP developer kits, and over 10,000 public MCP servers already running (Anthropic, December 2025). On the developer side, this stopped being experimental a while ago.

1 in 4

business owners report losing business in the past year because customers used AI tools instead (UPrinting survey, December 2025). That loss is silent; there’s no missed call or abandoned cart to tip you off. And the rails for AI buying are live today, with official MCP servers from Stripe, Shopify, PayPal, and a couple dozen other names you’d recognize.

What’s an MCP app?

Your website was written for people. An MCP app is the equivalent for AI assistants: a small piece of software that exposes the specific things you’re willing to let an assistant do (check availability, build a quote, place an order) and nothing else. The assistant acts on your customer’s behalf, and you decide exactly what it’s allowed to touch.

It runs on MCP, an open standard you can think of as USB-C for AI: one connector instead of a custom integration for every assistant. No single AI company owns it. The standard is governed by the Agentic AI Foundation under the Linux Foundation, which Anthropic, OpenAI, and Block co-founded. In our line of work, fierce competitors agreeing to share a standard is usually the sign it will stick.

New to all of this? Start with our guide to MCP →

About the “less personal” worry

In a December 2025 UPrinting survey, 65.5% of business owners said they worry AI will make their business feel less personal. We started Andromesh Labs partly because of that number.

An MCP app handles the traffic that never needed a person in the first place: the scheduling, the status checks, the 9 p.m. question about whether you carry something in stock. Your team keeps the conversations that built the business. In practice, the businesses that automate the routine well end up with more time in front of customers, because nobody is retyping orders all afternoon.

We’ve had the same one-line mission since before the AI wave: software should buy people time back for human work. This is just the newest version of that job.

Read why we do this →

What we do

How it works

  1. 1. Assess

    It starts with a conversation about how your business actually runs. We do the technical research from there, and you get a clear picture of where you stand before you commit to anything.

  2. 2. Build

    The people who scope the project are the ones who write the code. You decide what an AI assistant is allowed to do on your behalf, we build to that, and nothing goes live without your sign-off.

  3. 3. Care

    After launch we monitor the app and keep it current as the standard moves. You hear from us when something needs your input. Otherwise you run your business and we run the software.

Start with a conversation

Tell us about your business in your own words. A person reads every message (usually the person who would build your project), and we typically reply within two business days.

Talk to a human