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cloudru-s3-mcp-ai-cli

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    C2.7/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools clearly target distinct S3 resources/actions (list vs get vs head vs presign vs config), but s3_list_multipart_uploads and s3_unfinished_uploads overlap heavily, and s3_get_object/s3_preview_object both retrieve object content. Descriptions help separate them, so only minor ambiguity remains.

    Naming Consistency4/5

    All tools use snake_case with a consistent s3_ prefix. Most follow s3_verb_noun, though a few analytics tools (s3_prefix_usage, s3_largest_objects, s3_unfinished_uploads) are noun-led; still readable and predictable.

    Tool Count5/5

    14 tools sit comfortably in the 3-15 range and each addresses a distinct S3 inspection task. No tool appears redundant or thin for the scope.

    Completeness3/5

    Read/inspection coverage is strong (listing, metadata, tags, multipart, config, analytics, presign), but there are no write/delete/upload or bucket-mutation tools. Bucket config also omits encryption, lifecycle, website, and notification settings, leaving notable lifecycle gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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