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Alternatives to lake-level-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query live and historical USGS water data — real-time streamflow, gage height, temperature, precipitation, turbidity and other parameters — for individual gauge sites, and to discover which gauges are actively reporting a given parameter across a US state. Runs either as a keyless local stdio server or through a hosted gateway endpoint, with daily-value time series for trends and hydrographs.
      23 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Provides hydrology data (river levels, streamflow, flood forecasts, water quality) from USGS, NOAA, and SWOT, preserving units, datums, timezones, and data quality for AI agents.
      13
      63 PyPI
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Provides AI agents live access to USGS stream flow, gage height, and water temperature data, along with EPA water quality results ranked against compliance thresholds, and composite basin health scores.
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying current and historical relative water levels for 518 lakes, seas, and reservoirs worldwide from satellite radar altimetry, with search by name, country, or continent.
      5 npm
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Provides NOAA tide predictions and observed water levels, allowing AI agents to query tide stations and current water level data.
      0
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides lake conditions, fish-stocking records, fishing-favorability scoring, and live weather for outdoor recreation AI agents, powering trip-planning and fishing apps with 72,000+ US lakes and 293,000+ stocking events.
      MIT

    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: search_lakes discovers lakes, get_lake_level returns current conditions, get_lake_history returns time series, and compare_lakes returns multi-lake rankings. The only overlap is that compare_lakes includes current data, but its multi-lake comparative purpose is clearly distinct from the single-lake get_lake_level.

    Naming Consistency5/5

    All four tools use consistent snake_case verb_noun naming: search_lakes, get_lake_level, get_lake_history, compare_lakes. The pattern is predictable and readable throughout.

    Tool Count5/5

    Four tools are well-scoped for a focused lake-level domain. Each tool serves a distinct workflow—discovery, current reading, history, and comparison—with no obvious redundancy.

    Completeness5/5

    The surface covers the full read-only lifecycle: finding lakes, reading current levels, retrieving historical trends, and comparing multiple lakes. Search returns metadata such as slug, full-pool elevation, gauge agency, and page, so there are no obvious dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues