Windai Mcp Server
About
Windai Mcp Server.
Details
- Author
- umedpaliwal
- Downloads
- 125
- Categories
- Other
Jump to
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Windai Mcp ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
{
"mcpServers": {
"windai": {
"command": "npx",
"args": [
"windai-mcp"
]
}
}
}
get_wind_estimate
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.
get_wind_farm_assessment
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_sites
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
Get WindAI pricing information for wind resource assessments. Shows available credit packages, what's included in each assessment, and how to get started.
get_windai_model_info
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"windai mcp server": {
"windai": {
"command": "npx",
"args": [
"windai-mcp"
]
}
}
}
}McpServers
{
"windai": {
"command": "npx",
"args": [
"windai-mcp"
]
}
}Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
