sales-intelligence
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AlicenseNot gradedqualityBmaintenanceEnables AI assistants to discover target companies, research decision-makers, enrich existing prospect sheets with sourced company and contact data, and manage editable, exportable research lists.1MIT- AlicenseNot gradedqualityDmaintenanceEnables B2B prospecting from natural language: detect buying signals, score leads against ICP, enrich decision-makers, and draft personalized outreach messages via Claude.2MIT

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AlicenseAqualityAmaintenanceExport LinkedIn, Sales Navigator and Apollo searches, find decision makers, and find and verify work emails from any MCP client.1057 npmMIT- AlicenseAqualityAmaintenanceFind prospects, verify their emails, spot buying signals, draft grounded outreach and stage campaigns, all from a conversation with your AI assistant, using your own API keys.1770 npmMIT
TDQS
Scored across 16 tools
Each tool clearly belongs to a specific service (Gong, ZoomInfo, Clay, LinkedIn) with distinct actions. Some overlap exists between services (e.g., company search via ZoomInfo, Clay, and LinkedIn), but descriptions clarify source and use case, minimizing confusion.
All tools follow a consistent snake_case service_verb_noun pattern (e.g., gong_search_calls, zoominfo_get_org_chart). Actions are limited to search, get, enrich, and trigger, making tool intent predictable.
At 16 tools, this is slightly over the ideal 3-15 range, but the count is justified by integrating four distinct services. Each integration needs at least 2-3 tools, so the surface feels appropriate rather than bloated.
The tool set covers the main sales intelligence workflows: call search/transcript/details/stats, company and contact search, org charts, tech stacks, enrichment, and LinkedIn lead search. Minor gaps like Gong transcript keyword search or Clay workflow status are absent but not critical.