Razi Document Tools
Server Details
Document processing over MCP: merge, split and compress PDFs, run OCR, extract document text.
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- Status
- Unhealthy
- Uptime
- 85.1% over 60 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 6 tools
Each tool maps to a distinct operation: compress, OCR, image-to-PDF, merge, parse text, and split. The only plausible overlap, parse_document versus extract_text_ocr, is explicitly disambiguated by whether the text exists as a text layer or as pixels.
Most names follow a clear verb_noun pattern: compress_pdf, merge_pdf, split_pdf, parse_document. images_to_pdf breaks the pattern by omitting a verb, and extract_text_ocr is slightly awkward, but the overall style remains consistent and predictable.
Six tools is a well-scoped set for a document processing server. Each tool covers a distinct and commonly needed operation, with no redundant or filler tools.
Core document workflows are covered: create, merge, split, compress PDFs, and extract text from native or image-based files. Minor gaps remain, notably the absence of an upload tool over MCP and no PDF-to-image/rasterization, but these can be worked around via the REST API or browser.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Added
images_to_pdf
5 tool updates
- First observed
compress_pdf - First observed
extract_text_ocr - First observed
merge_pdf - First observed
parse_document - First observed
split_pdf
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