Is your website
WEB MCP Ready?

Measure your Agent Readiness Score. Analyze WebMCP, structured data, and semantic HTML so browser agents can navigate your business seamlessly.

W3C Standardizing Protocol

What Is WebMCP?

WebMCP (Web Model Context Protocol) is a browser-native standard that lets websites expose their functionality as structured, machine-callable "tools" that AI agents can discover and call directly — without fragile DOM clicking or screen scraping.

Backed by Google and Microsoft under the W3C Web Machine Learning Community Group, WebMCP empowers Chrome and Edge agents to search, book, purchase, and execute tasks with 100% precision.

Client-Side Execution

Runs directly in the user's active browser tab, eliminating API proxy latency and preserving session credentials safely.

Machine-Callable Tools

Annotate existing HTML forms or window functions so AI agents execute complex transactions deterministically.

Browser Agent Ecosystem

Prepares your site for next-generation autonomous AI assistants in Chrome, Edge, and custom AI browsers.

ARS Scoring Methodology

How Your Agent Readiness Score Works

Every scan evaluates your site across three core pillars an AI browser agent depends on.

See full methodology
01

Browser Readiness

Page-level signals

WebMCP form tools, structured data (JSON-LD, Open Graph), ARIA and landmarks, tool discoverability and heading structure, scored on every page scanned.

40% Weight
02

Agentic Orchestration

API & Docs

Public OpenAPI/Swagger specs, developer docs, API catalog links and rate-limit signals that let agents work with your data directly.

40% Weight
03

MCP Presence

Server Discovery

A discoverable MCP server so agents can connect to your tools without scraping.

20% Weight

Browser Readiness is itself a blend: interactive readiness 30%, technical accessibility 20%, semantic density 20%, tool discoverability 20% and content structure 10%. Multi-page scans average each score.

Knowledge Base

Frequently Asked Questions

Have questions about WebMCP, browser agents, or how your score is calculated?

What is an Agent Readiness Score?

A 0–100 score measuring how well an AI agent can find, parse, and act on your website — covering WebMCP support, structured data, semantic HTML, technical accessibility, and API integrity.

Is WebMCP the same as MCP?

No. MCP (Model Context Protocol) is a server-side protocol for connecting AI agents to external tools and data. WebMCP is a browser-native sibling that runs client-side, inside the page the user has open.

Do I need to rebuild my site to support WebMCP?

No. WebMCP is designed to augment your existing site — you annotate forms or register tool functions on top of what you already have.

Is WebMCP a Google ranking factor?

Not officially, as of today. But the practices that make a site WebMCP-ready — clean semantic HTML, accurate structured data, fast load times — overlap heavily with things Google has confirmed it does reward.

How often should I re-scan my site?

After every major deploy. Structured data and robots.txt rules commonly break silently during redesigns — a re-scan catches regressions before they cost you agent traffic.