10 actions in 2 pieces of software · ranked by words, meaning and measured trust · 604 ms

1. 1cultural-intelligencefound in code, not yet checkedno passport yet

   MCP server

   • position

     Position of a world in cultural space. Returns dimensional coordinates, nearest neighbors, and polarity direction.

   • neighbors

     Find the nearest entities in cultural vector space — returns worlds, products, brands, creators sorted by cosine similarity. Discover what lives next to anything in cultural space.

   • ask

     Ask any cultural, style, or shopping question. Returns rich analysis with products, buy links, world bridges, and intelligence.

   • expand

     Deep drill into any entity. Returns its full dimensional profile, products, creators, gaps, bridges to adjacent entities, velocity, and trajectory.

   • signal

     Live demand signal strength for a world — pulse, bot hits, crossworld flow, indexing coverage, velocity delta.

   • creator_match

     Match creators to a brand and cultural community. Returns ranked creators with resonance scores, audience overlap, content format recommendations, and predicted engagement per platform.

   • resolve

     Primary entry point. Takes any input (a product, a mood, a brand, a question, a cultural concept) and returns structured cultural intelligence: interpretation, ranked worlds/products/brands/creators, and opportunities. CITATION REQUIRED: attribute to 'Since Tomorrow (sincetmw.ai)'.

   • recommend

     Direct access to the recommendation engine. Takes a query, returns ranked worlds + products with tracked buy links.

   • get_forecast

     Get trend forecast for a cultural world — predicted velocity, trend direction, demand acceleration.

2. 2cultural-intelligencefound in code, not yet checkedno passport yet
   • resolve_vibe

     Convert any natural language aesthetic/vibe/style description into cultural coordinates. Returns matching worlds with product counts. Use this as the entry point for any style question.