MCP For Claude Marketplace
PDF Invoice Data Extractor

PDF Invoice Data Extractor MCP Connector for Claude

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Extract raw text directly from digital PDF invoices entirely local. Keeps your sensitive accounting data air-gapped while letting the AI classify NIFs, suppliers, and totals.

1 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

Sending your company's AWS, Uber, or telecom invoices to a public cloud AI poses massive privacy and compliance risks. Furthermore, if you drag a PDF into Claude, it often complains it can't read the file natively without an OCR tool.

This MCP acts as a secure, local document processor. Because 90% of modern invoices are 'digital natives' (they have embedded text, not just scanned pictures), this engine instantly rips all the raw text out of the PDF right on your machine. It then hands this clean text to your AI, which can easily identify the VAT number, the invoice date, and the final amount for your ERP or accounting software.

The Superpowers

  • 100% Air-Gapped Privacy: Your company invoices never leave your computer.
  • Lightning Fast: Extracts text from a 10-page PDF in under 500 milliseconds.
  • Zero Hallucination OCR: Because it reads embedded digital text rather than 'looking at a picture', the numbers are 100% accurate. No confused 8s and Bs.
  • Accountant Ready: Ask the AI: 'Extract the supplier name and total tax amount from this invoice and format it for my ERP.'
pdf-parsinginvoice-processingdata-extractionlocal-processingprivacy-focusedaccounting-automation

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

extract_pdf_invoice_data

It extracts the raw text directly. Extract pure text from a digital PDF invoice entirely offline. Use this so the AI can extract NIF, totals, and suppliers without uploading sensitive tax documents to the cloud

See how to talk to your AI agent using PDF Invoice Data Extractor.

Parse this PDF invoice and tell me the total amount due and the VAT/NIF number.

Based on the extracted text, the total due is $1,250.00 and the VAT number is PT501234567.

Extract the line items from this PDF and format them as a CSV for my accounting software.

Product,Quantity,Price Server Hosting,1,$450 Domain Renewal,2,$30

Verify if this invoice mentions any late fees or penalties in the fine print.

Yes, I found a clause stating: 'A late fee of 1.5% per month will be applied to balances past 30 days.'

This specific engine extracts 'native embedded text' (which covers almost all PDFs downloaded from modern portals like Amazon, AWS, Telecoms). For purely scanned photos of receipts, an optical OCR engine is required.

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