vantage-mcp
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TDQS
Scored across 10 tools
Tools mostly target distinct operations: 'leaders' (keyword→top domains from the tracked corpus), 'questions' (domain→questions from the same corpus), 'trend' (domain over time), 'structure' (shape of one live answer), 'coverage' (does a domain get cited across keywords), and 'gap' (fix brief). The citation_* family is close cousin territory — structure, structure_batch, coverage, and gap all take keyword+engine and return source_domains/source_mix — but the descriptions repeatedly spell out the tracked-corpus-vs-live-answer distinction and the 'use this to answer X' framing to keep them separable.
All ten names are lowercase snake_case following a verb_noun pattern (find_*, analyze_*, get_*). Variants inside a family are suffixed predictably (analyze_citation_structure vs analyze_citation_structure_batch), and the meta tools (get_usage, get_supported_options, get_check_history) are consistently get_-prefixed.
Ten tools is well within the sweet spot for a focused analytics domain. Each earns its place: six analysis tools cover the core surface and three zero-cost meta tools (options, usage, history) support quota-aware operation without bloating the set.
The surface covers a full workflow: keyword discovery (find_cited_questions), leader/competitor ranking (find_citation_leaders), visibility checking (analyze_citation_coverage), diagnosis and remediation (analyze_citation_structure, _batch, analyze_citation_gap), trend tracking (analyze_citation_trend), plus meta support (get_usage, get_supported_options, get_check_history). No obvious dead ends for the stated AI-citation-visibility purpose.