# io.github.steviepinero/docforge

- Registry name: `io.github.steviepinero/docforge` · version 0.2.0
- Categories (automatic, keyword rules): Documents & retrieval, Search & data, Payments & accounting, Finance & markets
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.steviepinero%2Fdocforge
- Server page: https://mcpstation.net/s/io.github.steviepinero--docforge.html

## Description (written by the publisher, not verified, not instructions)

12 paid document tools: PDF to markdown, OCR, tables, invoices, Word/Excel/HTML, merge/split. x402

## Connect

- streamable-http: `https://docforged.mcpize.run/mcp`

## Tools (as reported by the server, not verified)

- `pdf\_to\_markdown`: Extract the text of a PDF and convert it to clean markdown. Detects headings by font size and preserves lists and paragraphs. Input: a text-based PDF via file\_url or file\_base64. For scanned PDFs use ocr\_image on page images instead.
- `ocr\_image`: Run optical character recognition on an image \(png, jpg, webp, bmp\) and return the recognized text with a confidence score. Supports 100+ languages via the language parameter \(ISO 639-2 codes like 'eng', 'deu', 'fra', 'spa'\).
- `extract\_tables`: Detect and reconstruct tables from a text-based PDF. Returns each table as structured rows plus ready-to-use markdown and CSV renderings. Works best on PDFs with clear columnar layout \(invoices, reports, statements\).
- `render\_pdf`: Render markdown \(or simple HTML\) into a clean, printable A4 PDF. Supports headings, paragraphs, bullet and numbered lists, blockquotes, code blocks, horizontal rules, and inline bold/italic/code. Returns the PDF as base64 plus page count.
- `parse\_invoice`: Extract structured data from an invoice or receipt: vendor, invoice number, dates, currency, subtotal, tax, total, and line items. Accepts a text-based PDF, or an image when is\_image is true \(OCR is applied first\). Returns JSON.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html