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Alternatives to korail-mcp

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    Related Servers

    • 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
    • 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
      8 npm
      16
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to retrieve real-time official Korean statistics from the KOSIS database through natural language queries, with source citations.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying Korean official statistics from KOSIS via natural language in MCP clients like Claude Desktop, wrapping the KOSIS OpenAPI for search, data retrieval, and metadata exploration.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables access to Korean public data services through OpenAPI integration. Supports querying government datasets like parking information in Sejong City through natural language interactions.
      MIT

    TDQS

    B3.1/5.0

    Scored across 98 tools

    Disambiguation2/5

    There are several clusters of tools with unclear boundaries, such as get_station_facilities, get_accessible_facilities, get_station_facilities_detail, and the get_urban_* facility tools, which all cover similar physical station amenities from different sources. More seriously, get_mainline_carriage overlaps heavily with get_mainline_station_per, and get_wide_area_carriage overlaps with get_wide_rail_station_per, so an agent can easily select the wrong endpoint.

    Naming Consistency3/5

    The set mostly uses English snake_case with get_/search_/list_/decode_ prefixes, so the broad pattern is readable. However, analogous tools are named inconsistently: get_mainline_carriage vs get_mainline_station_per, get_transport_stat_codes vs get_train_codes, and search_loading_time_adjustment vs list_standard_loading_time all use different verb/object conventions for similar lookup operations.

    Tool Count1/5

    98 tools is an extreme size for a single MCP server and far exceeds the 50+ threshold for a coherence failure. Even if KORAIL has many datasets, the server should be split into focused sub-servers by domain such as urban rail, mainline operations, freight, station facilities, or corporate administration.

    Completeness2/5

    Read-only coverage is broad, but there are significant gaps for a KORAIL information server: current passenger fare lookup is missing, real-time train status/delay information is absent, and some datasets are only snapshots or single-day samples such as get_train_run_history. The many duplicated station and facilities datasets also make it unclear whether a query is fully answered without checking multiple tools.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues