umami-analytics-mcp
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TDQS
Scored across 32 tools
Most tools have distinct purposes, but the high number (32) and some similar-sounding names (e.g., get_events vs get_metrics for events, get_realtime vs get_active_visitors) may cause confusion. Descriptions are clear enough to differentiate, but an agent might misselect without careful reading.
All tools follow a consistent verb_noun pattern in snake_case: get_*, list_*, report_*. This is a predictable and clear naming scheme that helps an agent quickly grasp the tool's action and subject.
With 32 tools, the surface is heavy. While the analytics domain is broad and many tools serve distinct analytical needs, the count exceeds the 'heavy' threshold (16-25). Some tools could potentially be consolidated (e.g., report_* tools share similar structure).
The tool set covers the full analytics lifecycle: website and team metadata, time-series data, event tracking, session details, real-time, saved reports, segments, and various report types (funnels, goals, retention, etc.). It includes utility tools like get_website_daterange and get_website_values for validation. No obvious gaps for a read-only analytics server.