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Use OpenWeather with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Access agricultural weather and satellite data via OpenWeather. monitor NDVI, soil temperature, evapotranspiration, frost risk, and GDD from any AI agent.

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 12 capabilities

The complete OpenWeather capability set.

These are the exact actions your AI can choose when you ask it to work with OpenWeather.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through OpenWeather.

  1. 01

    Get crop health index

    CHI provides a single metric for overall crop health, making it easier to track field conditions over time and compare across fields. Essential for quick field health assessment, prioritizing scouting missions, and communicating crop status to stakeholders. AI agents should use this when users ask "what is the overall crop health score for my field", "get a quick health assessment", or need a simplified crop condition metric. Date format: YYYY-MM-DD. Get Crop Health Index (CHI) for comprehensive crop condition assessment

  2. 02

    Get current weather

    Essential for daily farming decisions, spray application timing, harvest planning, and frost protection. AI agents should use this when users ask "what is the weather like at my farm right now", "should I spray pesticides today", or need current weather data for agricultural operations. Get current weather conditions for agricultural decision making

  3. 03

    Get historical ndvi

    Returns time-series NDVI values showing vegetation health progression, stress detection, and recovery patterns. Essential for seasonal crop performance comparison, drought impact assessment, and long-term field health monitoring. AI agents should reference this when users ask "show me NDVI trends for my field over the growing season", "compare vegetation health between seasons", or need historical vegetation index data for agricultural trend analysis. Date format: YYYY-MM-DD. Get historical NDVI trends for seasonal vegetation health analysis

  4. 04

    Get weather history

    Essential for comparing current conditions with historical patterns, analyzing crop performance under past weather conditions, and validating crop models. AI agents should use this when users ask "what was the weather like on this date last year", "show me historical weather for my field", or need past weather data for agricultural analysis. Date format: Unix timestamp (seconds since 1970). Get historical weather data for crop analysis and trend assessment

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through OpenWeather.

  1. 05

    Get evapotranspiration

    ET combines soil evaporation and plant transpiration, providing the most accurate measure of crop water use. Essential for precision irrigation scheduling, water resource management, and drought assessment. AI agents should reference this when users ask "what is the evapotranspiration rate for my field", "calculate irrigation needs", or need crop water use data for irrigation planning. Date format: YYYY-MM-DD. Get evapotranspiration rates for irrigation scheduling and water management

  2. 06

    Get evi

    EVI is more sensitive than NDVI in high-biomass regions and less affected by atmospheric conditions and soil background. Essential for monitoring dense canopies, tropical crops, and areas with high vegetation cover. AI agents should reference this when users ask "what is the EVI for my dense crop area", "monitor high-biomass vegetation", or need enhanced vegetation index for areas where NDVI saturates. Date format: YYYY-MM-DD. Get EVI (Enhanced Vegetation Index) for high-biomass crop monitoring

  3. 07

    Get frost risk

    Returns risk levels (low, moderate, high, critical), predicted frost timing, and recommended protection measures. Essential for frost-sensitive crops (fruits, vegetables, vineyards), irrigation-based frost protection, and crop insurance documentation. AI agents should reference this when users ask "is there frost risk for my orchard tonight", "assess frost danger for my crops", or need frost warning data for crop protection planning. Get frost risk assessment for crop protection planning

  4. 08

    Get growing degree days

    GDD measures heat accumulation used to predict crop development stages, pest emergence, and harvest timing. Essential for phenology tracking, variety selection, and timing agricultural operations. AI agents should reference this when users ask "calculate GDD for my corn field this season", "track crop development stages", or need heat unit accumulation data for agricultural planning. Date format: YYYY-MM-DD. Calculate Growing Degree Days (GDD) for crop development tracking

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through OpenWeather.

  1. 09

    Get ndvi

    NDVI ranges from -1 to 1, with higher values (0.6-0.9) indicating healthy dense vegetation and lower values (0.2-0.5) indicating stressed or sparse vegetation. Essential for crop health monitoring, growth stage assessment, and yield prediction. AI agents should use this when users ask "what is the NDVI for my field on this date", "check crop vegetation health", or need satellite-based vegetation index data for agricultural analysis. Date format: YYYY-MM-DD. Get NDVI (Normalized Difference Vegetation Index) for crop health assessment

  2. 10

    Get satellite imagery

    Returns imagery metadata and access URLs for visual crop assessment, field boundary verification, and change detection analysis. Essential for remote field monitoring, damage assessment, and visual crop health evaluation. AI agents should use this when users ask "get satellite imagery for my field", "show me the latest satellite view of my farm", or need visual imagery for agricultural monitoring. Date format: YYYY-MM-DD. Zoom: 1-16. Get satellite imagery for visual crop assessment and field monitoring

  3. 11

    Get soil temperature

    Soil temperature is critical for seed germination timing, root activity assessment, and nutrient uptake optimization. Essential for planting decisions, irrigation scheduling, and soil health monitoring. AI agents should use this when users ask "what is the soil temperature for planting", "check if soil is warm enough for germination", or need soil thermal data for agricultural planning. Date format: YYYY-MM-DD. Get satellite-derived soil temperature for seed germination and root activity assessment

  4. 12

    Get weather forecast

    Essential for planting schedules, harvest timing, spray application windows, and irrigation planning. AI agents should reference this when users ask "what is the weather forecast for my farm this week", "will it rain in the next 5 days", or need forward-looking weather data for agricultural planning. Get multi-day weather forecast for agricultural planning

Observed, not estimated

927ms average. Fast in production.

OpenWeather is checked daily against the live service.

Daily averagePeak 1131ms
Aug 20Today
Fastest day
789ms
Slowest day
1131ms
14-day trend
Slowing+13%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of OpenWeather, so you can see the experience inside your AI.

It does not authenticate your account with OpenWeather. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

OpenWeather Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_cSGy1ndBfVKwh1VJde0ExmQiTQzPN8eBglxL4QW0/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — OpenWeather capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "openweather-agro-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_cSGy1ndBfVKwh1VJde0ExmQiTQzPN8eBglxL4QW0/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions OpenWeather owners ask.

  • 01

    Can my AI check NDVI for my field to assess crop health?

    Yes! Use the get_ndvi capability with your field coordinates and a date. NDVI values range from -1 to 1, with 0.6-0.9 indicating healthy dense vegetation and 0.2-0.5 indicating stressed or sparse vegetation. For trend analysis over a growing season, use get_historical_ndvi with a date range. The data comes from satellite imagery processed by OpenWeather algorithms.

  • 02

    How do I calculate irrigation needs using evapotranspiration data?

    Use the get_evapotranspiration capability with your field coordinates and date. ET values show how much water your crops are losing through transpiration and soil evaporation. Compare ET with rainfall (from get_current_weather or get_weather_forecast) to determine irrigation deficits. If ET exceeds precipitation, irrigation is needed to replace the difference. For precise scheduling, track daily ET over time and accumulate deficits.

  • 03

    Can I get frost warnings to protect my crops?

    Yes! Use the get_frost_risk capability with your field coordinates. It returns frost risk levels (low, moderate, high, critical) based on temperature forecasts and local conditions. For proactive planning, combine with get_weather_forecast to monitor approaching cold fronts. High or critical frost risk indicates you should activate frost protection measures like irrigation, wind machines, or covers.

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