vkcloud-s3-mcp-ai-cli
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TDQS
Scored across 14 tools
Most tools target distinct operations, but s3_unfinished_uploads and s3_list_multipart_uploads both surface unfinished multipart uploads, differing only in filtering/pagination, which invites misselection. The trio s3_get_object, s3_head_object, and s3_preview_object also overlap around reading object data, though their descriptions clarify the boundaries.
All tools use a consistent s3_ prefix and lower snake_case, making the surface predictable. Most follow verb_noun (get_object, list_objects, head_object), but a few are noun phrases (largest_objects, prefix_usage, unfinished_uploads), a minor deviation from the dominant pattern.
With 14 tools, the set is well within the sweet spot for an S3 inspection/diagnostics server. Each tool covers a distinct S3 capability (listing, metadata, config, tags, versions, multipart, analytics, presigning) without redundant filler.
The surface is entirely read/list/analysis oriented: there is no put_object, delete_object, copy, or abort_multipart_upload, so agents can detect problems (e.g. unfinished uploads, largest objects) but cannot remediate them. If read-only diagnostics is the intent this is reasonable, but it leaves notable lifecycle gaps for general S3 use.