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superPDF AI

superPDF AI

by arjunprabhulal
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    Deploy Server
    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

    A3.7/5.0

    Scored across 30 tools

    Disambiguation4/5

    Most tools have distinct purposes and descriptions clarify outputs, formats, and limits. However, pdf_extract_structure, pdf_extract_tables, pdf_read_text, and pdf_outline overlap on text/structure extraction, and pdf_run_pipeline overlaps with many single-purpose tools.

    Naming Consistency5/5

    All tool names use the same pdf_ prefix and snake_case verb/noun pattern, such as pdf_list_files, pdf_read_text, pdf_merge, and pdf_fill_form. The convention is predictable and consistent across all 30 tools.

    Tool Count3/5

    30 tools is heavy for an MCP surface, beyond the typical 3–15 range, and increases selection overhead. The broad PDF domain justifies many tools, but some could be consolidated, especially around the pipeline and extraction tools.

    Completeness4/5

    The set covers reading, structure extraction, conversion, page editing, forms, security, repair, batch/pipeline, and comparison. Minor gaps remain for common PDF workflows such as redaction, compression, annotations, and digital signatures, but core lifecycle operations are well covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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