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Alternatives to Common Ground MCP Server

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      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
      B
      maintenance
      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.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Plans an evening two people would both enjoy: give a city and a few favourites each, and Qloo's taste graph returns up to six places that rank well for both, each with the reason and in evening order.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to discover and rank cultural places from supplied artists or films, clarify preferences through reversible pairwise choices, and rebuild recommendations using a shared API and decision engine.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Preference-aware events discovery MCP server that aggregates events, restaurants, and cultural activities across multiple sources and re-ranks them against your personal taste profile to surface things you'd actually want to do.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables assistant clients to resolve artists and build or refine music, film, and book discoveries from selected taste seeds using Qloo, with follow/pass signals shaping subsequent recommendations.
      MIT