Stats Explorer MCP
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TDQS
Scored across 23 tools
The six-step hypothesis workflow is explicitly numbered, and the tool descriptions draw deliberate lines (e.g. correlation vs. correlation hypothesis test, describe vs. group_summary). However, start_analysis and choose_test both claim to be "call this first," and describe/group_summary/confidence_interval overlap on summary statistics, so a few boundaries need careful reading.
All names are consistently snake_case and readable, but conventions mix verbs (run_test, start_analysis, find_relationships) with bare nouns (describe, correlation, workflow_status, skip_step). The pattern is predictable enough to navigate, just not uniform verb_noun.
23 tools is on the heavy side for a stats assistant; several workflow steps (check_assumptions/check_spread, skip_step, workflow_status) are granular enough that they could be folded into parameters or a single status tool. Each is individually justified by the guided methodology, so nothing is pure filler, but the surface is larger than necessary.
Coverage of the analysis lifecycle is strong: inspection, descriptives, assumption checks, power, tests, planning, visualization, reporting, plus caching and background-job management. Gaps exist around row filtering/derived columns and listing or exporting raw datasets, which limit deeper exploratory work but are workable around.