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Windai Mcp Server

@umedpaliwal

代码仓库

关于 Windai Mcp Server

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基本信息

分类

其他

传输方式

stdio

发布者

umedpaliwal

提交者

umedpaliwal

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "windai": {
      "command": "npx",
      "args": [
        "windai-mcp"
      ]
    }
  }
}

工具

5

Get an approximate wind resource estimate for any location on Earth. Returns mean wind speed, IEC wind class, wind quality assessment, monthly wind speeds, and wind power density. Uses 3 years of historical reanalysis data (2021-2023). Free, no API key required.

Run a full WindAI AI-powered wind resource assessment using our deep learning model trained on 10M+ hourly observations from 289 wind farms. Returns hourly capacity factors (8,760+ hours), AEP, P50/P90, monthly and diurnal profiles, and comprehensive wind farm performance metrics. Requires a WindAI API key (get one at https://windai.tech/account).

Compare wind potential at multiple locations side by side. Up to 5 locations. Returns a ranked comparison table with mean wind speed, IEC wind class, wind quality, and wind power density for each site. Free, no API key required.

Get WindAI pricing information for wind resource assessments. Shows available credit packages, what's included in each assessment, and how to get started.

Get information about WindAI's machine learning model, including architecture, training data, accuracy metrics, and validation results. Useful for understanding the methodology behind WindAI predictions.

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