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mikeinottawa

aviation-mcp

by mikeinottawa
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    Related Servers

    • Aviation Weather MCP Server

      basicbill
      F
      license
      Not graded
      quality
      D
      maintenance
      Provides real-time access to official aviation weather data including METARs, TAFs, and PIREPs directly from aviationweather.gov. It enables users to query airport observations, forecasts, and pilot reports through natural language within Claude.
      -

    • aviation-weather-mcp

      mariow
      A
      license
      A
      quality
      D
      maintenance
      Provides aviation weather briefings including METARs, TAFs, PIREPs, SIGMETs, and NWP forecasts, enabling Claude to fetch and display real-time and forecast weather data for airports and routes worldwide.
      8
      6 npm
      3
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    • stormscope

      thornjad
      A
      license
      A
      quality
      D
      maintenance
      Provides real-time US weather data for AI assistants via MCP, including current conditions, forecasts, alerts, severe weather outlooks, radar, upper-air analysis, and surface analysis. Supports optional personal weather station integration.
      9
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    • Weather-MCP-Server

      AbhishekRaj0037
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides weather intelligence as MCP tools (current weather, forecast, air quality, UV index, alerts) with agentic orchestration, memory, and citation-grounded RAG.
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: search_stations resolves identifiers, get_metar fetches raw observations, get_taf fetches forecasts, and assess_conditions provides a judgment. The descriptions explicitly differentiate get_metar vs get_taf and assess_conditions, eliminating overlap.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (search_stations, get_metar, get_taf, assess_conditions) with snake_case throughout. No deviations or mixed conventions.

    Tool Count5/5

    With 4 tools, the set is minimal but perfectly scoped for aviation weather needs. Each tool has a clear, non-redundant role, and the count avoids bloat.

    Completeness4/5

    The core aviation weather workflow (resolve station, get current/forecast weather, assess conditions) is fully covered. However, the absence of tools for historical weather, PIREPs, or other advisories leaves minor gaps that an agent might need to work around.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources