windai-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_wind_estimateA | 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_assessmentA | 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_sitesA | 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_pricingA | 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_infoA | 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. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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