zigmo
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Verdonz MCPofficial
AlicenseBqualityBmaintenanceEnables compatible AI clients to discover and query governed metrics and datasets, ask business questions, investigate metric changes, and retrieve supporting evidence while access remains governed by the configured identity.6238 npmMIT
TDQS
Scored across 4 tools
The four tools target distinct stages: discovery (list_metrics), definition (describe_metric), execution (query_metrics), and dry-run inspection (explain_query). list_metrics vs describe_metric and query_metrics vs explain_query share the same domain and arguments, so there is mild potential for confusion, but the descriptions clearly separate 'list all', 'explain one', 'run', and 'don't run'.
All four names follow a clean verb_noun snake_case pattern (list_metrics, describe_metric, query_metrics, explain_query). The only deviation is describe_metric using the singular 'metric' while others are plural, which is a natural, readable choice rather than an inconsistency.
Four tools is a tight, well-scoped surface for a metrics/semantic-layer server: discover, describe, query, and preview. It is slightly lean, with no separate tool for browsing dimensions or filters, but every tool earns its place and nothing is redundant.
The read lifecycle is fully covered—discovery, definition, querying with dimensions/filters/date ranges, and an explain/dry-run path that complements execution. Minor gaps exist (no standalone dimension listing and no validation-only or saved-query operations), but agents can work around these via list_metrics and explain_query.