DocQA MCP

You'd reach for this when you need Claude to verify documents for factual consistency and mathematical accuracy. It's designed to catch the kinds of errors that slip through in automated document processing: hallucinated data that doesn't match source material, incorrect calculations, and field values that don't align with expectations. The source doesn't detail specific operations, but the focus is clearly on validation workflows where you're processing invoices, contracts, reports, or other structured documents and need programmatic checks beyond basic parsing. Think of it as a linting layer for document content rather than format, helping you build pipelines that flag suspicious outputs before they reach production systems.