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Weather MCP Server

by yusuf-bolat
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Python
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    Related Servers

    • Weather MCP Server

      mauricioTechDev
      A
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.
      98 npm
      GPL 3.0

    • weather

      qurioskill
      F
      license
      C
      quality
      C
      maintenance
      Exposes US weather data as MCP tools, resources, and prompts via the National Weather Service API, enabling clients like Claude Desktop to get alerts, forecasts, and weather briefings.
      2
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    • Weather MCP Server

      akaramanapp
      A
      license
      B
      quality
      D
      maintenance
      A Model Context Protocol server that provides AI agents with tools to retrieve weather alerts and detailed forecasts for US locations using the National Weather Service API.
      2
      98 npm
      1
      GPL 3.0

    • Weather MCP Server

      PrasadMankar1309
      F
      license
      Not graded
      quality
      C
      maintenance
      A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.
      -
    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

    B3.4/5.0

    Scored across 3 tools

    Disambiguation4/5

    get_alerts is clearly distinct, while get_forecast and get_hourly_forecast overlap in inputs but differ in time granularity. The descriptions make the distinction clear enough for an agent.

    Naming Consistency5/5

    All tools follow the consistent verb_noun pattern 'get_<resource>' with clear resource names (alerts, forecast, hourly_forecast). No naming irregularities.

    Tool Count4/5

    Three tools is slightly thin for a weather domain, but each serves a core need (alerts, daily forecast, hourly forecast). The set is well-scoped and not bloated.

    Completeness4/5

    Covers alerts and forecast types, but lacks current conditions or historical data. The main forecast lifecycle is covered, with minor gaps an agent could work around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources