liteparse-mcp
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okraPDF PDF MCP serverofficial
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TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: rendering pages, extracting text with coordinates, batch processing, highlighted screenshots, and text search. No two tools serve the same function, even though two produce images, the context and output differ significantly.
All tool names are in snake_case and mostly follow a verb_noun pattern (screenshot_pdf, parse_pdf, batch_parse_pdfs, search_pdf). 'cited_screenshot' is the exception as it is a descriptive noun phrase rather than a verb_noun, but it still fits the overall naming style.
Five tools cover the core PDF parsing and rendering workflow without being excessive. Each tool addresses a distinct need, from single-page screenshots to batch processing, making the tool count well-scoped for the server's purpose.
The tool set covers the primary PDF operations: text extraction (parse_pdf), visual rendering (screenshot_pdf), highlighting (cited_screenshot), searching (search_pdf), and batch processing (batch_parse_pdfs). This is a complete lifecycle for the server's stated PDF parsing and analysis purpose.