Schema Validator MCP — Structured Data & JSON-LD Checker logo

Schema Validator MCP — Structured Data & JSON-LD Checker

by ForhadUpdated Aug 19, 2026

Scan any website for Schema.org/JSON-LD structured data, validate it against Google Rich Results requirements, and get AI-ready recommendations for missing schema — built for SEO agencies and developers optimizing for both Google and AI answer engines.

seo
schema.org
json-ld
+7
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How to pay

Subscribe

Monthly billing

$7/month

Predictable monthly cost with included usage. Best for steady, high-volume traffic.

  • Unlimited tools within plan limits
  • One API key, billed once a month
  • Cancel any time

Schema Validator MCP checks whether your website's structured data (Schema.org / JSON-LD) is complete, correct, and up to date — for both traditional Google Rich Results and modern AI answer engines like ChatGPT and Perplexity.

Most websites either have no structured data or have it implemented incorrectly, silently losing rich-result eligibility in Google and reducing how accurately AI engines understand and cite your brand.

What it does

  • Scan any URL and extract every JSON-LD block on the page
  • Validate each schema type against Google's current Rich Results requirements — see exactly which required and recommended fields are missing
  • Get recommendations for schema types your page should have but doesn't, based on its actual content (FAQ content without FAQPage schema, product pages without Product schema, etc.)

Who it's for

  • SEO agencies auditing client sites at scale
  • Developers implementing structured data who want to verify it's correct before shipping
  • Marketing teams optimizing for AI search visibility (GEO)

Built with production-grade safety

  • SSRF-protected (blocks internal/private network access, including DNS-rebinding tricks)
  • Handles malformed JSON-LD gracefully — never crashes on bad input
  • Timeout and response-size limits to keep results fast and reliable

Tools

  1. scan_structured_data — extract and list all structured data found on a page
  2. validate_schema — check a specific schema against required/recommended fields
  3. suggest_missing_schema — get content-aware recommendations for what schema to add