Hallucinated Citation Exact Match Checker

Hallucinated Citation Exact Match Checker MCP Connector for Claude

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Mathematically verify LLM quotes against ground-truth RAG context to detect fabrications.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides precision tools for verifying the factual integrity of LLM-generated citations. By performing deterministic character-level comparisons, it identifies exactly where a generated quote deviates from the provided source text. Use verify_quote_integrity to calculate match percentages and hallucination scores, analyze_mismatch_locations to find specific character offsets of errors, and calculate_citation_validity to receive categorical reliability ratings like 'Valid' or 'Hallucinated'. It is an essential bridge for developers building high-precision RAG systems that require mathematical certainty in citation accuracy.

hallucinationcitationragverificationaccuracy

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

analyze_mismatch_locations

Identifies exactly where the LLM's text deviates from the provided truth

calculate_citation_validity

Provides a high-level assessment of a citation's reliability based on both content and placement

verify_quote_integrity

Determines if a specific quote is a faithful representation of the source text

See how to talk to your AI agent using Hallucinated Citation Exact Match Checker.

Verify if this quote is accurate: 'The sky is blue' from the source 'The sky is very blue.'

The quote is a Partial match. The generated text deviates from the source text.

Check the integrity of the quote 'The sun is hot' against the source 'The sun is hot.'

The quote is a Verbatim match with 100% integrity.

Is the citation 'The moon is cheese' valid for the source 'The moon is made of rock'?

The citation is Hallucinated.

The tool uses Levenshtein distance and longest common substring algorithms to calculate a hallucination score based on character deviation from the ground truth.

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