FAQ Schema Extractor

FAQ Schema Extractor MCP Connector for Claude

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Automatically identify Q&A pairs from unstructured text and generate SEO-ready JSON-LD FAQPage schema.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner

The FAQ Schema Extractor is a specialized tool designed to transform unstructured, human-readable prose into machine-readable structured data. By using the extract_pairs tool, you can identify individual question and answer pairs from any block of text. Once extracted, the generate_jsonld tool wraps these pairs into a valid JSON-LD format following Schema.org standards. Finally, use validate_schema_integrity to ensure your generated script is syntactically correct and safe for production deployment in your website's head section.

json-ldschemaorgfaqpageseo-toolsautomationcontent-optimization

3 tools expose this connector's capabilities to your AI agent.

extract_pairs

Extracts Q&A pairs from unstructured text

generate_jsonld

Generates JSON-LD FAQPage schema

validate_schema_integrity

Validates JSON-LD schema integrity

See how to talk to your AI agent using FAQ Schema Extractor.

Extract pairs from this text: Q: What is MCP? A: Model Context Protocol. Q: Is it free? A: Yes.

[{"question": "What is MCP?", "answer": "Model Context Protocol."}, {"question": "Is it free?", "answer": "Yes."}]

Generate JSON-LD from these pairs: [{"question": "Who are you?", "answer": "I am an AI assistant."}]

<script type="application/ld+json">{"@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{"@type": "Question", "name": "Who are you?", "acceptedAnswer": {"@type": "Answer", "text": "I am an AI assistant."}}]}</script>

Validate this JSON-LD: <script type="application/ld+json">{"@context": "https://schema.org", "@type": "FAQPage"}</script>

{"isValid": true, "validationIssues": []}

Use the `extract_pairs` tool by providing your raw text in the `rawText` parameter. You can choose between pattern recognition or block separation modes.

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