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ocr-mcp

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Python
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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

    A3.5/5.0

    Scored across 4 tools

    Disambiguation4/5

    The tools are mostly clearly separated by content type: general text, tables, handwriting, and formulas. There is minor overlap because ocr_recognize could plausibly also handle handwritten text or tables, but the specialized tools make their intended use clear.

    Naming Consistency4/5

    All tools share the consistent ocr_ prefix, which makes the server easy to scan. The suffixes mix verbs and nouns (recognize/handwrite vs table/formula), but the pattern remains predictable and readable.

    Tool Count5/5

    Four tools is well-scoped for an OCR server: one general recognition tool plus three specialized modes. Each tool has a clear reason to exist without overwhelming the agent.

    Completeness4/5

    The surface covers the main OCR use cases: plain text, tables, handwriting, and formulas. Minor gaps such as batch processing, PDF input, or language options exist, but they are not essential for the apparent core purpose.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources