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RapidOCR MCP Server

by bitfarer
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Python
Hybrid

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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

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct input source: local file path, base64 content, URL, and batch of paths. The descriptions clearly differentiate the tools, and the batch tool's multi-image purpose avoids confusion with single-image processing.

    Naming Consistency4/5

    Three tools follow the 'ocr_by_<source>' pattern clearly, but 'ocr_batch' deviates by omitting 'by'. This is a minor inconsistency that does not harm readability.

    Tool Count5/5

    Four tools are well-scoped for an OCR server, covering the primary input methods (file, content, URL, batch) without unnecessary redundancy. The count feels complete and focused.

    Completeness5/5

    The tool surface covers the core OCR workflows for local files, base64 data, URLs, and batch processing. There are no obvious gaps for a typical OCR use case, making the set comprehensive.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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