# Razi Document Tools

- Registry name: `io.github.razikallayi/razi-documents` · version 1.0.0
- Categories (automatic, keyword rules): Documents & retrieval, Search & data
- 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.razikallayi%2Frazi-documents
- Server page: https://mcpstation.net/s/io.github.razikallayi--razi-documents.html

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

Document processing over MCP: merge, split and compress PDFs, run OCR, extract document text.

## Connect

- streamable-http: `https://www.razi.pro/api/mcp/documents`

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

- `merge\_pdf`: Concatenate two or more PDFs into a single PDF, in the order supplied, and return the merged file. Over MCP the PDF is never inlined: it comes back as a stored URL that stays retrievable for about 24 hours. Page content is copied unchanged — it does not compress \(use compress\_pdf\) or select pages \(u
- `split\_pdf`: Extract page ranges from one PDF into new PDFs. One output file is produced per range: a single range returns that PDF directly, several ranges return a ZIP containing one PDF each. Over MCP you receive a link to the stored output rather than its bytes, and that link keeps working for roughly a day.
- `compress\_pdf`: Shrink a PDF's byte size while keeping it a PDF, for email limits or slow connections. Returns the compressed PDF; over MCP it is never inlined, arriving as a stored URL that stays retrievable for about 24 hours. Ghostscript on razi.pro's worker downsamples embedded images at a fixed 'ebook' preset
- `images\_to\_pdf`: Assemble pictures into one PDF, a page per picture, in the order supplied. PNG and JPEG bytes are embedded untouched; WebP, GIF, TIFF and AVIF are re-encoded to PNG on the way in, which loses no detail but does rewrite the file. A PDF sitting among the pictures is spliced in whole at its position, s
- `extract\_text\_ocr`: Use this ONLY when the text exists as PIXELS and nothing else — a photo, a screenshot, a scan. It runs optical character recognition on an image and GUESSES the characters, so it is a best-effort transcription that misreads under blur, skew or low contrast. Returns JSON \{ text, language, confidence?
- `parse\_document`: Use this when the file ALREADY stores its text as characters: it decodes them and returns JSON \{ text, metadata \} verbatim, with no guessing involved. That exactness is the whole difference from extract\_text\_ocr, which recovers text from pixels by guessing at glyph shapes and should only ever be poi

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