- TRENDS
- ALERTS
- LOGS
- HUMAN
Short answer
How can I track moisture movement in my grain?
Your AI pulls historical humidity and temperature logs to identify how moisture is shifting through your grain. It compares these patterns to spot trends before they become spoilage issues. You get a clear picture of where the moisture is heading.
The outcomes of your analysis
What you'll see
Once the data is connected, your AI produces these specific results.
TRENDS
Identify movement patterns
The AI compares historical data to show how moisture is migrating through the mass. You see where the wet spots are forming.
ALERTS
Spot rising risks
By watching temperature and humidity shifts, your agent flags when conditions are moving toward a spoilage threshold.
LOGS
Clean data summaries
The AI condenses long sensor histories into readable summaries of how the grain environment has changed.
HUMAN
Decide on action
The AI provides the data and the trends, but you decide if you need to aerate, move, or treat the grain.
The workflow
What your AI does when the data arrives.
The AI uses specific sensor tools to build a complete picture of your grain's health.
Gather history
The agent pulls the previous humidity readings to establish a baseline for the grain mass.
get_humidity_historyCheck current state
It grabs the latest humidity levels to see how the current environment compares to the recent past.
get_current_humidityMonitor temperature
The AI looks at temperature changes over time to see if heat is driving moisture movement.
get_temperature_historyMap the migration
The agent correlates the humidity and temperature data to pinpoint exactly where moisture is moving.
get_humidity_historyget_temperature_history
Try it
Copy these to start.
Use these prompts to kick off your analysis.
Starting points
These are starting points. Swap out the specific bin numbers or sensor IDs for your actual equipment.
Grain Watch Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_XN5VkLPw6XMatHSLfQyLUCDpI7Rxx1bplw4Thydj/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Grain Watch capabilities are ready to use.
{
"mcpServers": {
"grain-watch-mcp": {
"url": "https://edge.vinkius.com/vk_preview_XN5VkLPw6XMatHSLfQyLUCDpI7Rxx1bplw4Thydj/mcp"
}
}
}Analyze the humidity history for Bin 4 to see if moisture is migrating toward the center.
Compare the current humidity in the north silo against the last 48 hours of temperature history.
Based on the temperature history for the main grain mass, is moisture migration likely to increase?
Summarize the humidity trends for the entire facility from the last week.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Grain Watch once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking your AI about your grain data.
Connect Grain Watch to your AIFAQ
How this task behaves
- 01
Can the AI change my sensor settings?
No. The AI can only read data from the sensors; it cannot change any hardware configurations or settings.
- 02
Will the AI automatically trigger the aeration system?
No. The AI identifies the trends and risks, but it does not have the capability to control physical equipment.
- 03
How often does the AI check the data?
The AI only checks the data when you ask it a question or prompt it to perform a task.
- 04
Can I use this with any AI client?
Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf.
- 05
Does the AI store my sensor data?
No. The AI uses the tools to fetch data from your existing systems on demand.
More questions about Grain Watch? The Connector page answers them. See everything the Grain Watch Connector can do
Connect Grain Watch to Claude, Cursor, ChatGPT & more
