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mws-s3-mcp-ai-cli

by stufently
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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

    C2.8/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools target a distinct S3 resource or aggregation (buckets, objects, versions, parts, tags, config, presign, largest, prefix usage). However, s3_list_multipart_uploads and s3_unfinished_uploads overlap heavily, and s3_get_object vs s3_preview_object could be confused by an agent choosing between full bounded read and preview.

    Naming Consistency5/5

    Every tool uses the same s3_ prefix followed by a clear verb_noun pattern (get_object, list_buckets, list_object_versions, head_object, presign_get). No mixed casing or inconsistent verb styles.

    Tool Count5/5

    14 tools is well within the ideal 3-15 range for an S3 inspection server. Each tool covers a distinct read or aggregation operation, and none feels redundant or trivially unnecessary.

    Completeness3/5

    The surface covers many read/diagnostic operations (list, get, head, tag, config, presign, multipart inspection), but it lacks any write, delete, copy, or abort-multipart-upload operations. Finding unfinished uploads without being able to abort them is a notable dead end for an S3 management surface.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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