WebMCP Readiness Check
Demo · Beta

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AIOInsights

WebMCP Beta · Early Preview Powered by AIOTruth

WebMCP Readiness is an AIOTruth evaluation type, delivered through AIOInsights.

Is your site ready for AI agents?

WebMCP is a proposed browser standard in early development. It would let a site hand an AI agent a menu of callable tools instead of making the agent reverse-engineer the interface: read the screen, hunt for a button, and hope the click did what it expected.

This check looks for current evidence that a site exposes structured tools for AI agents. Absence does not mean the site is defective, and support is not yet universal. It performs static inspection of your homepage HTML and inline scripts; it does not execute JavaScript, so it cannot confirm tools registered at runtime.

AIOInsights line art: WebMCP, a service window for robotsA building drawn to the edges of the view. Its left bay is cut away to show the shop floor with shelves and a counter, and the stockroom above. At the front door people use, a small delivery robot with a sparkle on its mast is stuck, trying to work out a handle made for hands. The rest is the outside wall in brick, and low in it, at robot height, a service hatch with a counter and three labeled buttons, one for each thing the shop lets an AI agent do. One robot is at the hatch and another waits behind it. Behind the hatch, a chute runs into the building, drawn cut open.What agents useWhat people use AIOInsights line art: WebMCP, a service window for robots, mobileA building drawn to the edges of the view. Its left bay is cut away to show the shop floor with shelves and a counter, and the stockroom above. At the front door people use, a small delivery robot with a sparkle on its mast is stuck, trying to work out a handle made for hands. The rest is the outside wall in brick, and low in it, at robot height, a service hatch with a counter and three labeled buttons, one for each thing the shop lets an AI agent do. One robot is at the hatch and another waits behind it. Behind the hatch, a chute runs into the building, drawn cut open.What agents use

Today: the agent guesses

An AI agent lands on your page and has to figure it out like a person would: read the screen, hunt for the right button, and hope the click does what it expected. Slow, brittle, and often wrong.

With WebMCP: you hand it the menu

Your site declares its actions as callable tools: get a quote, check availability, start a booking. The agent calls the tool directly, with the inputs it needs. No guessing, no screenshotting.

What WebMCP actually is

WebMCP is a proposed browser API, document.modelContext (originally navigator.modelContext, moved in July 2026), that would let a website expose its own features to AI agents as structured, callable tools. It was authored by engineers at Google and Microsoft through the W3C Web Machine Learning Community Group, announced in February 2026, and opened a public origin trial in Chrome 149 that runs through Chrome 156. It is described in a Community Group draft, not a W3C Standard, and is not on the W3C Standards Track. It is one of several proposals for a business-to-agent interface for the agentic web.

Why this is not just another llms.txt

They solve different problems. One helps AI read you. The other lets an agent act on your site. That difference is why WebMCP has momentum where llms.txt stalled.

llms.txtWebMCP
What it isA static text file at your rootA live browser API your site calls
What it doesHints to AI what your content meansPublishes actions an agent can invoke
Read or actRead onlyAct: quote, search, book, submit
AdoptionYears old, largely unused by AI systemsBacked by Google + Microsoft, in Chrome origin trial

“I like the WebMCP approach, as well as the commerce integrations: they have clear goals and processes.”

John Mueller, Google, who separately called llms.txt “purely speculative for now.”
The mark for Honest status

Honest status: WebMCP is in a public origin trial, not a finished standard. It is available to test through the origin trial in Chrome (Chrome 149 through 156) and has experimental support in Edge behind a flag; it is not yet supported across all browsers. We are telling you this because being early is the point: you can understand it before it settles, without betting anything on a timeline nobody can promise.

Discuss Agent Readiness with Digilu

This check tells you what evidence your site currently publishes. What to do about it depends on your business and on how the standard develops. WebMCP is in origin trial, browser support is not settled, and we are not going to sell you an implementation as a finished managed service while that is true. What we will do is look at your situation with you and say plainly whether it is worth acting on yet.

Discuss Agent Readiness with Digilu
What happens next

Have Digilu take responsibility from here.

Agent-readiness standards and website implementations continue to evolve after a one-time check.

You can handle the recommendations yourself, or have Digilu take responsibility for them. Nothing here expires and nothing changes if you do nothing.

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AIOInsights evaluates the public signals as they are today. The Observatory keeps watching them. Digilu carries the level of responsibility you choose, and no more than that.

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