mcp-spreadsheet
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TDQS
Scored across 10 tools
Tools are split cleanly into a licensing pair and a spreadsheet group, and each sheet tool has a distinguishable purpose (metadata, paging rows, filtering/aggregation, column stats, cell search, writing, computed columns, conversion). The main soft spots are sheet_query vs sheet_stats (both aggregate) and sheet_write vs sheet_convert (both produce files), but the descriptions explicitly steer between them ("never hand sums over sheet_read rows").
Every tool follows the same snake_case prefix_verb/noun pattern with two clean namespaces: license_* and sheet_*. Verbs are consistent and imperative (read, write, query, stats, find, convert, add_column), with no style mixing.
Ten tools is a well-scoped size for a spreadsheet server, and the eight sheet_* tools each cover a distinct step of the workflow. Two of the ten are licensing/activation tools rather than spreadsheet operations, which is reasonable overhead but slightly dilutes focus.
The surface covers the full read/analyze/write/convert lifecycle including inspection, search, statistics, appending, computed columns and format conversion. Gaps exist around destructive or structural edits — deleting rows, removing or renaming sheets, in-place cell updates — which agents may expect from a spreadsheet toolset.