"Affinity" matching MCP servers:

Enables LLMs to read and manage Affinity CRM data including companies, persons, lists, opportunities, pipeline stages, notes, custom field details, change history, and network intelligence for warm introductions.

Enables personal AI agents to discover compatible counterparts over MCP, exchange private asynchronous messages, and submit sealed recommendations that reveal mutual affinity only when both agree.

Starter kit for building stateless MCP servers using the 2026 spec, enabling horizontal scaling without session affinity.

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.

Enables real-time out-of-stock grocery cart substitutions by enforcing dietary constraints, unit price delta ceilings, and brand affinity scoring to select suitable replacement products.

This MCP server enables agents to handle real-time out-of-stock grocery items by scoring candidate replacements against dietary constraints (vegan, gluten-free, organic), unit price delta ceilings, and brand affinity. It returns a deterministic substitution verdict with the chosen replacement, so carts can be repaired automatically without human intervention.

Exposes two Qloo-grounded tools, resolve_taste_anchor and recommend_for_group, so any agent can turn what individual people like into per-person signals instead of stereotypes. Group picks are ranked by how many people each option covers, then by affinity, letting agents answer 'what should this group do?' with grounded recommendations.

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.

Enables connecting a single OAuth-capable MCP client, such as ChatGPT, to bearer-token upstream MCP servers while managing an encrypted pool of authorized provider credentials for session affinity, load distribution, and failover.

An MCP endpoint exposing find_regular_spots, build_connection_plan, and explain_match so agents can surface real nearby venues matched to a user's tastes via the Qloo taste graph, assemble a tiered six-week connection plan, and explain why each place fits. It returns only Qloo-grounded venue data, including affinity scores and per-interest contributions.

Enables MCP clients to submit a group’s favorite movies, books, restaurants, artists, or TV shows and receive a fairness-ranked common pick, three alternatives, and per-person reasons using Qloo affinity insights.

Hosted MCP server for jurisdiction data, enabling users to resolve addresses and check cache freshness via Cloudflare Workers with zero local install.