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Windai Mcp Server

Windai Mcp Server

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github.com/umedpaliwalScience & Education1Updated 29w ago
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About Windai Mcp Server

WindAI MCP Server provides wind resource estimation and assessment tools for users of MCP-compatible AI assistants. It combines free location estimates and site comparisons with API-key-based wind farm assessments.

Key features

  1. 01Estimate wind resources by coordinates
  2. 02Return wind class and monthly breakdown
  3. 03Compare up to five locations
  4. 04Run API-key-based wind farm assessments
  5. 05Retrieve pricing and model information

Use cases

  1. 01Screen a location for wind potential
  2. 02Compare candidate wind farm sites
  3. 03Estimate capacity factors and energy production
  4. 04Review WindAI model or pricing details

MCP support

The MCP server exposes tools for wind estimates, site comparisons, full assessments, pricing, and model information to MCP-compatible assistants.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "windai": {
      "command": "npx",
      "args": [
        "-y",
        "windai-mcp"
      ]
    }
  }
}
Run commandnpx -y windai-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmwindai-mcp

Tools

5

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
latitudenumberYesLatitude of the site (-90 to 90)
longitudenumberYesLongitude of the site (-180 to 180)
hub_heightnumberNoHub height in meters (default: 100). Typical range: 60-170m.

Details

From the project README

WindAI MCP Server

AI-powered wind resource assessment tools for Claude, ChatGPT, Cursor, and other AI assistants via the Model Context Protocol (MCP).

Get wind speed estimates, compare sites, and run full ML-powered wind farm assessments from any MCP-compatible AI assistant.

Website: windai.tech

Quick Start

Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):

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

Restart Claude Desktop, then ask:

"What's the wind potential at latitude 40.5, longitude -105.2?"

Claude Code
claude mcp add windai -- npx -y windai-mcp
Cursor / Other MCP Clients

Add a similar configuration using npx -y windai-mcp as the command.

Global Install
npm install -g windai-mcp
windai-mcp

Tools

get_wind_estimate (Free)

Get an approximate wind resource estimate for any location on Earth. No API key required.

Input:

  • latitude (required): Latitude (-90 to 90)
  • longitude (required): Longitude (-180 to 180)
  • hub_height (optional): Hub height in meters (default: 100)

Returns: Mean wind speed, IEC wind class, wind quality assessment, monthly breakdown, wind power density.

Example prompt: "Estimate the wind resource at 52.5N, 1.8E at 120m hub height"

get_wind_farm_assessment (Requires API Key)

Run a full AI-powered wind resource assessment using WindAI's deep learning model (391-feature neural network trained on 10M+ hourly observations from 289 wind farms).

Input:

  • latitude (required): Latitude
  • longitude (required): Longitude
  • api_key (required): WindAI API key (starts with wai_)
  • hub_height (optional): Hub height in meters
  • rated_power (optional): Turbine rated power in kW
  • rotor_diameter (optional): Rotor diameter in meters
  • turbines_count (optional): Number of turbines
  • Plus: swept_area, total_power

Returns: 8,760+ hourly capacity factors, AEP, P50/P90, monthly and diurnal profiles.

Get an API key: windai.tech/account

compare_wind_sites (Free)

Compare wind potential at multiple locations side by side. Up to 5 locations.

Input:

  • locations (required): Array of { latitude, longitude, name? } objects (2-5 sites)

Returns: Ranked comparison table sorted by wind quality.

Example prompt: "Compare wind potential at these sites: Denver CO (39.7, -105.0), Amarillo TX (35.2, -101.8), and Cheyenne WY (41.1, -104.8)"

get_windai_pricing (Free)

Get current pricing information for WindAI assessments.

Returns: Credit packages, per-site pricing, what's included, and signup links.

get_windai_model_info (Free)

Get information about WindAI's ML model, training data, and accuracy metrics.

Returns: Architecture details, training data stats, accuracy metrics, validation methodology.

Pricing

PackageCreditsTotalPer SiteSavings
Single1$49.99$49.99--
Starter10$449.90$44.9910%
Pro25$999.75$39.9920%
Enterprise100$3,499.00$34.9930%

Buy credits at windai.tech/credits.

Data Sources

  • Free tools: Open-Meteo ERA5 Historical Reanalysis (2021-2023), no API key needed
  • Paid assessments: WindAI's proprietary deep learning model using ERA5, MERRA2, Copernicus DEM, and turbine specs

Development

git clone <repo-url>
cd windai-mcp
npm install
npm run dev

Build for production:

npm run build
npm start

Links

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.