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pdf-mcp

by sandraschi
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Python

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools target clearly distinct operations (extract, convert, annotate, forms, redact, classify, dedupe, validate). A few boundaries blur: pdf_analyze vs pdf_validate both perform structural audits, and pdf_export's markdown brief overlaps with pdf_convert's to_markdown and pdf_extract's text output.

    Naming Consistency4/5

    All 16 tools use a consistent pdf_ snake_case prefix with verb-style names (pdf_extract, pdf_convert, pdf_annotate, pdf_validate). Minor deviations: pdf_rag uses a noun/acronym and pdf_do is a vague verb, but the overall pattern is predictable.

    Tool Count4/5

    16 tools for a full PDF processing suite is reasonable; each operation (extract, convert, manipulate, annotate, forms, RAG, redact, classify, dedupe, validate, analyze, export) earns its place alongside help/status/shutdown infrastructure. Slightly heavy but well within scope.

    Completeness4/5

    Broad lifecycle coverage: read, transform, annotate, secure, validate, and even semantic indexing. Notable gap: pdf_analyze detects scanned PDFs but no OCR tool exists to make them usable, a common follow-on for a PDF domain. Otherwise the surface is robust with no major dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources