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remove-ai-watermarks

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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 3 tools

    Disambiguation4/5

    identify is a read-only detection tool, while remove operates on a single file and batch operates on a directory, so the boundaries are generally clear. The only mild overlap is that batch is essentially remove applied across a folder, but the descriptions make the scope distinction explicit.

    Naming Consistency4/5

    All three tools use single lowercase verbs (identify, remove, batch) in a consistent, predictable style. It deviates from a strict verb_noun pattern, but there is no mixing of conventions or casing.

    Tool Count4/5

    Three tools is on the lean side but well-matched to a narrow domain of detecting and stripping AI provenance signals. Each tool earns its place with no redundancy or filler.

    Completeness4/5

    The surface covers the core lifecycle: detect signals, clean a single file, and clean a whole directory, with modes controlling what is stripped. The only minor gap is a dedicated verification/preview step, though identify can be re-run after removal to confirm results.

    Maintenance

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