Skip to main content
Glama
KimJintak

opinet-mcp

by KimJintak

Related Servers

Alternatives to opinet-mcp

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to retrieve Japan's weekly retail prices for gasoline, diesel, and kerosene from the METI official statistics, covering all 47 prefectures and the national average dating back to 1990. Supports looking up latest weekly prices with week-over-week changes and tax breakdowns, historical series with min/max/average, cheapest-prefecture rankings, and multi-product national trends.
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables natural language querying of Korean statistical data from KOSIS, including population, employment, GDP, housing prices, and more, with support for regional and trend analysis.
      8
      10 npm
      16
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI to query real-time Korean public data including weather, real estate prices, air quality, economic indicators, and business registration via natural language.
      1
      MIT

    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool targets a distinct data view (cheapest stations, national average, historical trends, regional averages, single station details). While all relate to fuel prices, the scope filters (top20, 7-day history, sido codes) create clear boundaries.

    Naming Consistency5/5

    All tools use consistent snake_case with a 'get_' verb prefix followed by descriptive noun phrases (lowest_price_top20, national_average_price, etc.). The pattern is predictable throughout.

    Tool Count4/5

    Five tools cover the essential read-only queries for a fuel price information service without bloat. The scope is well-contained, though an additional search-by-radius or brand filter could round it out.

    Completeness4/5

    Core price discovery workflows are covered: finding cheap stations, checking averages at national/regional levels, viewing trends, and drilling into station details. Minor gaps include no brand-specific queries or historical data beyond 7 days.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues