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mcp-gtm-suite

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TDQS

A4/5.0

Scored across 21 tools

Disambiguation4/5

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.

Naming Consistency5/5

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.

Tool Count4/5

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.

Completeness4/5

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).

Maintenance

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