mcp-gtm-suite
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TDQS
Scored across 21 tools
Most tools target clearly distinct resources (hiring, tech stack, funding, social, events, awards, legal entity, AI, outbound, publications), and descriptions explicitly cross-reference sibling tools to steer selection (e.g. scan_job_board_keywords vs scan_gtm_hiring_signals). The main overlap is compositional: aggregate_gtm_signals and get_company_changes both re-invoke the primitive scan/detect tools, so an agent must decide composite vs primitive despite the explanations.
Every tool follows a strict snake_case verb_noun convention (scan_*, resolve_*, detect_*, map_*, get_*, audit_*, classify_*, monitor_*, capture_*). No camelCase or mixed styles, and the verb choice is predictable across the whole suite.
At 21 tools the suite is on the heavier side, but each tool maps to a genuinely distinct enrichment or action (identity, firmographics, funding, AI maturity, outbound infra, publication cadence, awards, etc.), so nothing is redundant filler. It is slightly over the ideal range for a single server rather than bloated with duplicates.
The GTM enrichment surface is broad, covering firmographics, hiring, tech stack, funding, social, events, awards, legal entity, ICP scoring, and sequencer push. The notable gap is people/contact discovery: classify_contact explicitly does not find people, and there is no email or contact-finder tool, which a full GTM workflow would need (presumably supplied externally via Clay).