Model Context Protocol (MCP)

The Model Context Protocol (MCP) enables AI assistants to access WindBorne's real-time weather data through a secure, standardized interface.

What is MCP?

MCP is an open protocol that allows AI applications to securely connect to external data sources and tools. It provides a standardized way for AI assistants to access live data while maintaining security and user control.

Available Endpoints

Getting Started

  1. Set API credentials as Environment Variables

    Shell Commands

    These commands are also available when the API key is created.

  2. Connect to MCP Server using Python

    Python Connection
  3. Install the required Python package

    Install Command
  4. Complete Example

    Test Connection (Python)

MCP for Claude Paid Users

This requires the Claude desktop app. Complete these steps:

  1. Access Connectors

    Under your account settings, open "Connectors" and press "+ Add custom connector". If you don't see this section, you are not on a paid plan—use the free plan steps below.

    Claude settings showing the Connectors section with Add custom connector
  2. Configure your Connector

    Claude settings showing the Connectors section with Add custom connector

    Give your connector a name and a user-specific URL. Replace WB_CLIENT_ID and WB_API_KEY with your actual credentials (available on the API Keys page).

  3. Test the Connection

    Activate the tool in prompt settings and ask for the weather to verify connectivity.

    Claude settings showing the Connectors section with Add custom connector

MCP for Claude Free Users

This requires the Claude desktop app. Complete these steps:

  1. Create or Locate the Configuration File

    When you start the Claude desktop app it auto-detects MCP servers from claude_desktop_config.json . Locate it via the app settings or your file explorer, or create it if missing.

    For Windows: %APPDATA%/Claude/claude_desktop_config.json
    For macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  2. Add MCP Server Details

    Add this configuration to enable the WindBorne MCP server:

    claude_desktop_config.json
  3. Restart Claude & Test the Integration

    Restart the app and activate the WindBorne MCP in your prompt settings to test.

    Claude settings showing the Connectors section with Add custom connector

Chat Examples

I'm driving out tomorrow ~ 10AM from LA to SF, what's the weather to LA, can I keep the car's top down? Good news! Tomorrow's looking perfect for a top-down convertible. Weather forecast for your route: * San Francisco (10AM departure): Around 54°F (12°C) to start, warming quickly as the morning progresses, with light winds and zero precipitation * Middle of route (Central Valley/Grapevine): Warming to a comfortable 68-75°F (20-24°C) with gentle winds * Los Angeles (arrival): Beautiful 72-76°F (22-24°C) with clear skies No rain anywhere along your route, and winds are mostly mild. You're definitely good to keep the top down the whole way! Just might want a light jacket for the first hour or so. Safe travels and enjoy your time off!
Fetch me the weather forecast for every hour for the next 12 hours Here's the hourly forecast for New Delhi over the next 12 hours (all times in UTC): 12:00 UTC (5:30 PM IST) * Temp: 36.3°C | Precip: 0.2 mm/hr | Wind: 3.5 m/s SE 13:00 UTC (6:30 PM IST) * Temp: 34.9°C | Precip: 0.7 mm/hr | Wind: 2.5 m/s S 14:00 UTC (7:30 PM IST) * Temp: 33.9°C | Precip: 0.4 mm/hr | Wind: 2.0 m/s SSE 15:00 UTC (8:30 PM IST) * Temp: 33.2°C | Precip: 0.6 mm/hr | Wind: 2.1 m/s SE 16:00 UTC (9:30 PM IST) * Temp: 32.6°C | Precip: 0.7 mm/hr | Wind: 2.3 m/s ESE 17:00 UTC (10:30 PM IST) * Temp: 32.2°C | Precip: 0.6 mm/hr | Wind: 2.5 m/s ESE 18:00 UTC (11:30 PM IST) * Temp: 32.1°C | Precip: 0.3 mm/hr | Wind: 2.5 m/s E 19:00 UTC (12:30 AM IST) * Temp: 31.9°C | Precip: 0.3 mm/hr | Wind: 2.4 m/s E 20:00 UTC (1:30 AM IST) * Temp: 31.6°C | Precip: 0.2 mm/hr | Wind: 2.2 m/s E 21:00 UTC (2:30 AM IST) * Temp: 31.2°C | Precip: 0.3 mm/hr | Wind: 2.1 m/s E 22:00 UTC (3:30 AM IST) * Temp: 30.6°C | Precip: 0.4 mm/hr | Wind: 1.3 m/s E 23:00 UTC (4:30 AM IST) * Temp: 30.2°C | Precip: 0.5 mm/hr | Wind: 1.1 m/s E Trend summary: Temperature gradually decreases through the evening and night. Light to moderate precipitation throughout. Wind generally from the east, decreasing in strength overnight.