"Affinity" matching MCP servers:

Enables AI agents and MCP clients to identify creator audience lookalike clusters and measure affinity overlap, producing structured output dossiers with deterministic zero-dependency execution.

Enables analysis of cart items and shopper intent, computation of complementary product affinity scores, enforcement of merchant margin constraints, and synthesis of personalized discount bundles and cross-sell recommendations via MCP.

Exposes Qloo taste-graph analysis of a restaurant's audience as MCP tools, letting existing agents retrieve a restaurant's entity, cross-domain affinities, over-indexing dishes and vibes, and demographic skew, or generate a fully verified weekly playbook of menu moves, events, and campaigns. Enables agents to ground restaurant decisions in Qloo evidence with affinity scores and an evidence ledger.