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Alternatives to korea-university-mcp

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      B
      maintenance
      MCP server enabling AI assistants to query Myongji College data, including real-time library seat availability, campus notices, department lists, and course search (with user login). All tools are read-only and can be composed to answer complex campus-related questions.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for querying Korean school budget, unit projects, and special plans through the School Alert (학교알리미) open data API.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      MCP server for searching and accessing Korean public data from data.go.kr, enabling dataset search, metadata lookup, and data retrieval/download via Python API or CLI.
      10
      1,573 PyPI
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Bridges Korean public data APIs (data.go.kr) into MCP with automatic OpenAPI normalization, quota management, caching, and backoff. Enables natural language interaction with Korean government data through MCP.
      64 PyPI
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to register and call multiple Korea Public Data Portal OpenAPIs using only a service URL and auth key, with automatic API naming and tools for listing and querying registered endpoints.
      MIT

    TDQS

    A3.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a distinct purpose: discover datasets/operations, describe an operation's metadata, execute an operation, and check service health. No overlaps or ambiguous boundaries.

    Naming Consistency4/5

    Most names follow a consistent verb_noun pattern (describe_operation, execute_operation, discover_datasets). The exception is 'doctor', which is a valid verb but less conventional for a health check, creating a minor deviation.

    Tool Count5/5

    Four tools is an appropriate, well-scoped set for a university data API client: discovery, metadata, execution, and health check. Each tool earns its place.

    Completeness5/5

    The tool set covers the full lifecycle for consuming public data APIs: find operations, inspect their parameters, execute them, and verify connectivity. No obvious gaps for the stated purpose.