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Razi Document Tools

io.github.razikallayi/razi-documents · v1.0.0

Measured by MCP Station

Description written by the publisher, not verified

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

Connect

claude mcp add --transport http razi-documents https://www.razi.pro/api/mcp/documents

{
  "mcpServers": {
    "razi-documents": {
      "url": "https://www.razi.pro/api/mcp/documents"
    }
  }
}

Tools as reported by the server

• 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

Repository · Website · JSON · Text for agents · Registry updated 2026-09-08