🔴NEW (2026): Google Lighthouse now officially scores Agentic Browsing — 3 checks, most sites score 1/3 or lower.
FREE WEBMCP & AGENTIC BROWSING VALIDATOR

WebMCP Validator — Check Your Website's AI Agent Readiness in 10 Seconds

The most comprehensive free WebMCP compliance checker available. 20 verified checks using real HTTP requests — zero guessing. We audit robots.txt AI access, llms.txt, WebMCP form attributes, discovery manifest, schema markup, plus Google's official Agentic Browsing score.

🟢 20 Real HTTP Checks🟡 Agentic Browsing via PSI API🔵 Instant PDF Report⚪ Free — No Login
20 Checks
Real HTTP
100% Free
<10s Results
✓ Real HTTP analysis — no simulated guessing
✓ Nothing stored until you copy your compliance badge
Share this free audit tool

What Is the WebMCP Validator?

The WebMCP Validator is an enterprise-grade technical audit engine designed to evaluate how effectively your website communicates with autonomous AI agents, LLM search crawlers, and generative engines. As search shifts from traditional blue links to AI search assistants like ChatGPT, Claude, Perplexity, and Google Gemini, website architecture must adapt to support machine readability.

Unlike standard SEO tools that evaluate only HTML metadata for human search engines, our validator performs 20 verified HTTP checks against your actual infrastructure. We audit your robots.txt AI access permissions, verify the presence of machine-readable /llms.txt files, parse HTML forms for WebMCP tool annotations, test discovery manifests at /.well-known/webmcp, and query Google PageSpeed Insights for official Agentic Browsing compliance metrics.

Understanding Your AI Readiness Score

Your website receives a normalized score on a scale of 0 to 100, corresponding to academic grades ranging from F to A+. In our benchmark testing of over 5,000 commercial domains, the average website scores below 40 points (Grade F), reflecting a widespread lack of preparation for autonomous AI browsing.

  • Grade A+ (90–100): Fully WebMCP compliant. Autonomous agents can discover, understand, and execute tools seamlessly.
  • Grade A (80–89): Excellent AI agent readiness with minor schema or speed enhancement opportunities.
  • Grade B (60–79): Good infrastructure foundation, but missing key tool manifest declarations or machine context files.
  • Grade C (50–59): Fair readability; AI crawlers can access content, but cannot execute forms or interactive services.
  • Grade D (40–49): Poor optimization; missing critical llms.txt context files and standard schema markup.
  • Grade F (<40): Critical gaps. Major AI crawlers may be explicitly blocked in robots.txt or unreadable.

What Is Google Lighthouse Agentic Browsing? (2026 Standard)

In 2026, Google officially expanded its core Lighthouse auditing framework to include Agentic Browsing as the official 5th auditing category alongside Performance, Accessibility, Best Practices, and SEO. This historic update acknowledges that AI agents act as primary web consumers.

Google Lighthouse Agentic Browsing currently audits three foundational elements: Cumulative Layout Shift (CLS) layout stability, the presence of a verified /llms.txt machine context file, and accessibility tree structural depth. Unlike traditional 0–100 scores, Google presents this evaluation as a fractional score (such as 2/3), highlighting three upcoming unscored checks: WebMCP Form Coverage, Tools Registered, and Schema Validation.

The 20 WebMCP Compliance Checks Explained

1. HTTPS Encryption

Verifies valid SSL encryption. Autonomous AI agents enforce strict transport security for tool execution.

2. Response Time (TTFB)

Measures server response speed. Latency over 3000ms causes autonomous agents to time out during multi-step tasks.

3. robots.txt Accessibility

Verifies root robots.txt accessibility. Ensures crawling instructions are accessible to machine bots.

4. XML Sitemap Discovery

Checks for valid sitemap.xml files allowing AI crawlers to discover deep transactional pages efficiently.

5. HTTP 200 Success Status

Ensures clean HTTP 200 responses without redirect loops or misconfigured application rewrites.

6. AI Crawlers Unblocked

Parses robots.txt to verify GPTBot, ClaudeBot, and PerplexityBot are not explicitly disallowed.

7. llms.txt Machine Context

Verifies presence of plain-text /llms.txt summary file audited by Google Lighthouse Agentic Browsing.

8. X-Robots-Tag Headers

Ensures server HTTP response headers do not issue restrict noindex or none indexing directives.

How to Fix Common WebMCP Compliance Issues

Achieving Grade A+ compliance requires systematic remediation. Resolving failed checks is straightforward when utilizing our specialized generator suite:

  1. Create your /llms.txt: Use our free llms.txt generator to publish a structured Markdown overview of your brand and services.
  2. Publish /.well-known/webmcp: Generate a valid JSON discovery manifest declaring your operational site tools.
  3. Annotate HTML Forms: Add toolname, tooldescription, and toolaction attributes to your existing web forms.

Frequently Asked Questions

Is this WebMCP Validator really free?

Yes, completely free with zero login required. We perform real HTTP checks on your website and report the truth. Our business model is service-based — we earn revenue by helping businesses fix the issues our free tool finds. We never charge for the scan itself.

How accurate are the scan results?

Every check we show is based on real data. We fetch your actual robots.txt and parse it for blocked AI agents. We fetch your actual llms.txt and check it exists. We fetch your actual HTML and search for toolname attributes. When we cannot check something remotely — like JavaScript APIs — we clearly mark it as "Requires Extension" rather than guessing.

What is Google Lighthouse Agentic Browsing?

In 2026, Google officially added Agentic Browsing as the 5th category in Lighthouse and PageSpeed Insights — alongside Performance, Accessibility, Best Practices, and SEO. It currently checks 3 factors: CLS (layout stability), llms.txt presence, and accessibility tree quality.

What is llms.txt and why does it matter?

llms.txt is a plain-text file at your website root that provides AI language models with a structured overview of your site — your purpose, key pages, services, and what AI agents can do on your site.

Why can you not check navigator.modelContext remotely?

The navigator.modelContext API is a browser-native JavaScript feature in Chrome 150+. For our server to check it, we would need to execute JavaScript inside your browser — which would be a serious security vulnerability.

What is the WebMCP badge and how does the verify page work?

After your scan, you can generate a WebMCP compliance badge showing your score and grade. When you copy the badge code, your scan data is saved to our database.

Does WebMCP score affect Google search rankings?

Not directly as a ranking signal — yet. However, Google adding Agentic Browsing to Lighthouse strongly signals their direction. CLS is already a Core Web Vitals ranking factor.

How often should I rescan my website?

We recommend rescanning after any significant website update, after implementing fixes we recommend, monthly as part of your technical SEO routine, and whenever you change your robots.txt or llms.txt files.