opinet-mcp
Related Servers
Alternatives to opinet-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables 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.-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to look up real-time fuel prices at over 14,000 German gas stations, find the cheapest E5, E10, or diesel near a place or GPS coordinates, and return only open stations sorted by price.MIT
- FlicenseAqualityBmaintenanceFinds the cheapest gas stations along a travel route in Korea using Kakao Navigation and Opinet APIs.3-
- AlicenseNot gradedqualityCmaintenanceEnables Claude to query AirKorea's air pollution statistics, including real-time averages by province and city/county, as well as daily and monthly averages by monitoring station.MIT
- AlicenseAqualityBmaintenanceEnables natural language querying of Korean statistical data from KOSIS, including population, employment, GDP, housing prices, and more, with support for regional and trend analysis.810 npm16MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI to query real-time Korean public data including weather, real estate prices, air quality, economic indicators, and business registration via natural language.1MIT
TDQS
Scored across 5 tools
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.
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.
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.
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.