windai-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| 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 | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: get_wind_estimate provides free approximate data, get_wind_farm_assessment provides detailed paid analysis, compare_wind_sites handles multi-location comparison, and the remaining two provide service metadata (pricing, model info). No functional overlap exists.
All tools use snake_case with verb_noun structure (get_, compare_). The 'windai' prefix appears only on meta-tools (model_info, pricing) distinguishing service information from wind data tools, which is logical but slightly unconventional.
Five tools is an ideal count for this specialized domain: three core wind assessment functions (quick estimate, detailed assessment, comparison) plus two supporting tools (pricing, methodology). No bloat, no missing essentials.
Covers the core wind resource assessment workflow well (screening → detailed analysis → comparison). Minor gaps include no account/credit balance check tool (relevant since assessments require paid credits) and no ability to retrieve past assessment history.