MCP Tools/Discovery Research Sessions/derive_keyword_clusters

derive_keyword_clusters

writeDiscovery Research Sessions

Turn Discovery findings into pre-clustered keyword groups with live volume data.

Connected surface
This tool and the Keywords dashboard page are two surfaces over the same data. The dashboard is where you view and curate it; derive_keyword_clusters is how your AI can turn Discovery findings into clusters in one step. How surfaces connect →
Write tool
Mutates Rampify state, triggers background work, or calls a paid external API. Most clients ask for confirmation before invoking.

Parameters

ParameterTypeDescription
domainstringoptionalProject domain (alternative to project_id).
project_idstringoptionalProject UUID. Pass one of this or domain.
session_idstringoptionalDiscovery session UUID that produced these insights. Shown as provenance on each cluster ("Derived from Discovery session …"). Pass it when you are acting on a derive_keywords next_action from a Discovery session.
source_typeenum("discovery_session" | "homepage" | "manual")requiredHow the keywords were derived. discovery_session = synthesized from a Discovery session + business profile (normal close-the-loop). homepage = synthesized only from homepage/profile (pre-Discovery bootstrap pass). manual = user-directed.
keywords_by_bucketobjectrequiredKeywords pre-grouped by Discovery bucket. You synthesize these in your own context from the business profile + optional Discovery session data. Aim for 5-12 keywords per bucket so the whole batch stays under ~50 keywords (one DataForSEO call). Keywords must be category-level search terms, not brand-mentions. "customer data platform" ✓, "Acme CDP reviews" ✗.
localestringrequiredLocale code for DataForSEO lookup. Default: en.