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A1VARA5
by A1VARA5

Related Servers

Alternatives to Hearsay

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      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.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to find movies, shows, books, music, podcasts, games, places, destinations, or brands that two people are likely to enjoy together. It resolves favorites to Qloo entities, compares taste profiles, ranks candidates for fairness, and returns explainable matches through five read-only tools.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to resolve and search taste entities and tags, get recommendations, demographics, and taste analysis, and run an audience-finding agent that turns a creative work description into audience affinities, local places, and a ready-to-use pitch.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables an agent to test a draft script's references against a specific audience's taste, scoring each name as lands, risky or won't land for a room and for each tour city. It also finds stand-in references the crowd knows better, compares several rooms at once, and surfaces fans, crowd hooks and preset rooms for the writing at hand.
      263 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      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.
      MIT