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Restaurant AI MCP Server

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    • A
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      quality
      D
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      Personalized restaurant recommendations, table bookings, and delivery via MCP, CLI, or API, learning user taste and acting proactively.
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      license
      A
      quality
      D
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      Enables restaurant discovery and reservations across multiple providers (Resy, Google Places, Yelp, Tock) with auditable and secure two-step booking.
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    • A
      license
      A
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      Enables MCP-compatible AI assistants to analyze restaurant menu economics from CSV data, including food-cost percentages, contribution margins, gross sales, ingredient costs, and item rankings. It can flag loss-making items and periods with no sales.
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    • A
      license
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      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.
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    • A
      license
      B
      quality
      C
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      Multi-channel inventory intelligence for Shopify and Amazon sellers. 28 tools for stockout risk, demand forecasts, purchase order management, and sales analytics — with human-in-the-loop safeguards.
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