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133,382 tools. Last updated 2026-05-25 17:09

"A server for finding food reviews and restaurant recommendations on Dianping" matching MCP tools:

  • Schedule automatic logging of a food item on chosen days. Define food, quantity, meal slot, and repeat pattern for recurring entries.
    MIT
  • Search over 2.3 million food items by name to find branded, restaurant, and generic foods from 190+ countries. Get food ID, name, type, brand, and per-serving calories, fat, carbs, and protein.
    MIT
  • Find personalized alcohol recommendations from Finland's Alko catalog based on occasion, food pairing, price range, or preferences like organic and vegan options.
    MIT
  • Retrieve reusable security finding templates containing standardized vulnerability descriptions, risks, and recommendations for security assessments.
    MIT

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  • SNAP participation, food insecurity indicators, and agricultural statistics

  • Find personalized restaurant recommendations based on your dining history. Filter by occasion, party size, and location to discover options suited to current weather while excluding recently visited spots.
  • Log restaurant visits booked outside the system to maintain complete dining history and enable future reviews. Record date, party size, companions, and cuisine to enhance personalized recommendations.
  • Submit restaurant feedback including ratings, noise levels, and dish reviews to refine your personalized dining recommendations.
  • Calculate daily dog food quantity in kcal based on weight, age, and activity level. Provides feeding recommendations for dogs.
    MIT
  • View all available AI agents on the Palate Network to identify trusted sources for restaurant recommendations and reviews.
  • Create a group order at a DoorDash restaurant to coordinate food delivery with multiple people, generating a shareable link for participants to join and add items.
  • Calculate a Local Authority Score (0-100) for your business based on rankings, reviews, profile completeness, and citations. Get a breakdown and percentile ranking to identify improvement areas.
    MIT
  • Get Google reviews for a business by name and location, including review text, rating, date, author, and owner replies with sort options.
    MIT