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amiro-lab

Naver Booking MCP

by amiro-lab

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    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Connects AI models to real-time search and inventory data for major South Korean retail chains, convenience stores, and cinemas. It enables users to check product availability at stores like Daiso and Olive Young, or view movie schedules at CGV and Megabox.
      101 npm
      -
    • A
      license
      A
      quality
      A
      maintenance
      Book a table, an appointment or a place in a class at a real local business. Live availability, instant confirmation, no account and no API key. Eight tools: search, fetch, get_business, check_availability, create_booking, check_booking, cancel_booking and request_listing. Guest emails in eight languages. Hosted at https://g-guest.app/api/mcp
      8
      6 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to look up businesses, find free appointment slots, book, list and cancel appointments at salons, barbershops, nail and brow studios and clinics. Works read-only without a customer login by returning a pre-filled booking link, and can also run against a built-in demo with sample businesses.
      5
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.
      13
      4
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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables customers and AI agents to check restaurant table availability and create bookings, returning confirmations or nearby alternative times when a slot is full, with atomic capacity control and idempotent handling.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying Naver Search and DataLab APIs for web, news, blog, cafe, image, knowledge iN, encyclopedia, and local results, along with shopping insight and search-trend analytics using natural-language category lookup.
      253 npm
      MIT