Why Use This

When an agent needs to pull structured data out of a PDF, scan, image, or messy document, the usual approach is raw OCR plus an LLM call. Results are unreliable; tables get mangled, dates get misread, totals drift.

With this MCP server installed, the agent has a talonic_extract tool that returns schema-validated JSON with per-field confidence scores, a detected document type, and stable IDs for follow-up calls. Six other tools cover the rest of the workflow: searching the workspace, filtering by extracted field values, fetching a document's metadata, getting OCR markdown, listing saved schemas, and saving new ones.