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OCR Beans

OCR Beans

by btechbrasil
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    • tooldash-mcp

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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

    A3.9/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a fairly distinct target: ocr_image (images), check_legibility (diagnostic), batch_ocr (directory batch), ocr_pdf (full PDF), and ocr_page (specific pages). The only mild overlap is ocr_pdf vs ocr_page, but the descriptions clearly delineate the full-document vs page-subset use cases.

    Naming Consistency4/5

    Three tools share the 'ocr_' prefix (ocr_image, ocr_pdf, ocr_page) and the rest use clear verb_noun forms (check_legibility, batch_ocr). Mostly readable and predictable, though the prefix/suffix placement of 'ocr' varies slightly.

    Tool Count5/5

    Five tools is a tight, well-scoped set for an OCR/PDF extraction domain. Every tool covers a distinct entry point (single image, single PDF, page subset, batch directory, pre-flight diagnostic) with no redundancy.

    Completeness4/5

    The surface covers the core OCR lifecycle well: images, full PDFs, page subsets, batch directories, and a legibility diagnostic. Minor gaps remain (e.g. batch image processing or configurable output formats), but the main workflows are fully supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources