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Use Grain Watch with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Access silo temperature monitoring via Grain Watch. track grain temperature, humidity, hot spots, and spoilage risk 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 Grain Watch capability set.

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

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through Grain Watch.

  1. 01

    Get alerts

    Returns alert type, severity (critical, warning, info), affected silo, timestamp, and recommended actions. Essential for comprehensive operational monitoring, issue detection, and management response. AI agents should use this when users ask "show me all active alerts", "what warnings have been triggered for silo 3", or need alert data for operational monitoring. Optional silo_id filters alerts for a specific silo. Get all active alerts for temperature, humidity, and sensor issues

  2. 02

    Get facility overview

    Essential for executive reporting, facility-wide condition assessment, and strategic storage management. AI agents should use this when users ask "give me an overview of all my silos", "what is the overall temperature status across the facility", or need facility-level summaries for management reporting. Get comprehensive overview of all monitored silos and their temperature status

  3. 03

    Get current humidity

    Returns relative humidity (%) values from multiple sensor positions. High humidity combined with temperature indicates condensation risk and potential spoilage conditions. Essential for moisture migration detection, condensation risk assessment, and grain quality preservation. AI agents should reference this when users ask "what is the humidity level in silo 3", "show me humidity readings for silo 5", or need current humidity data for storage condition assessment. Get current humidity readings from sensors in a grain silo

  4. 04

    Get current temperature

    Returns temperature values (Celsius) from multiple sensor positions throughout the grain mass including top, middle, bottom, and center zones. Essential for real-time grain condition monitoring, hot spot detection, and spoilage prevention. AI agents should use this when users ask "what is the current temperature in silo 2", "show me all temperature readings for silo 4", or need immediate grain temperature data for storage management decisions. Get current temperature readings from all sensors in a grain silo

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through Grain Watch.

  1. 05

    Get humidity history

    Humidity patterns over time help identify moisture migration, condensation events, and drying effectiveness. Returns time-series humidity data (%) with timestamps from multiple sensor positions. Essential for moisture migration analysis, condensation detection, and storage safety monitoring. AI agents should reference this when users ask "show me humidity trends for silo 1", "has humidity been stable in silo 2", or need historical humidity data for storage management. Get historical humidity readings to track moisture migration patterns

  2. 06

    Get sensor map

    Returns sensor IDs, physical locations (top/middle/bottom, center/perimeter), installation depths, and current operational status. Essential for understanding temperature distribution across the grain mass, identifying which sensor corresponds to which physical location, and troubleshooting sensor issues. AI agents should use this when users ask "show me the sensor layout for silo 4", "where are the sensors positioned in silo 6", or need sensor positioning data for temperature analysis interpretation. Get the layout and positions of all temperature sensors in a silo

  3. 07

    Get silo details

    Essential for understanding silo context before analyzing temperature data, planning aeration strategies, or generating storage condition reports. AI agents should reference this when users ask "tell me about silo 3", "what grain is stored in silo 5 and how many sensors does it have", or need detailed silo metadata for informed analysis. Get detailed information about a specific grain silo

  4. 08

    Get silos

    Returns silo IDs, names, locations, grain types, current temperature status, and monitoring health. Essential for facility overview, silo inventory management, and selecting specific silos for detailed temperature analysis. AI agents should use this when users ask "show me all my monitored silos", "list temperature-monitored storage units", or need to identify available silos before querying temperature readings or alerts. List all grain silos monitored by Grain Watch

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through Grain Watch.

  1. 09

    Get temperature history

    Temperature trends over time are critical for identifying developing hot spots, spoilage heating, or effective cooling from aeration. Returns time-series temperature data (Celsius) with timestamps from multiple sensor zones. Essential for hot spot detection, spoilage heating identification, aeration effectiveness evaluation, and grain quality preservation. AI agents should use this when users ask "show me temperature trends for silo 3 over the past 30 days", "has silo 5 been heating up", or need historical temperature data for storage condition analysis. Optional days parameter controls lookback period. Get historical temperature readings to detect trends and hot spot development

  2. 10

    Get hotspot alerts

    Returns alert severity (critical, warning), affected silo, sensor zone location, temperature differential, detection timestamp, and recommended actions. Hot spots are early indicators of grain quality issues that require immediate attention. Essential for proactive grain management, spoilage prevention, and quality preservation. AI agents should use this when users ask "are there any hot spots detected", "show hotspot alerts for silo 3", or need early warning indicators of grain spoilage. Optional silo_id filters alerts for a specific silo. Get active hot spot detection alerts for all silos or a specific silo

  3. 11

    Get sensor health

    Returns sensor IDs, positions, communication status, last reading time, battery levels (for wireless sensors), and operational status (active, offline, fault, needs calibration). Essential for sensor network maintenance, data continuity assurance, and monitoring system reliability. AI agents should reference this when users ask "are all sensors working in silo 5", "which sensors have gone offline", or need sensor health data for system administration. Get health status of all temperature and humidity sensors in a silo

  4. 12

    Get spoilage risk

    Returns risk level (low, moderate, high, critical), contributing factors, predicted days until spoilage if conditions persist, and recommended preventive actions. Essential for proactive grain management, early intervention planning, and quality preservation. AI agents should use this when users ask "what is the spoilage risk for silo 3", "is silo 5 at risk of spoilage", or need AI-driven risk assessments for storage management decisions. Get AI-powered spoilage risk assessment for a specific silo

Observed, not estimated

833ms average. Fast in production.

Grain Watch is checked daily against the live service.

Daily averagePeak 1067ms
Aug 24Today
Fastest day
745ms
Slowest day
1067ms
14-day trend
Slowing+10%

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 Grain Watch, so you can see the experience inside your AI.

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

Grain Watch Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XN5VkLPw6XMatHSLfQyLUCDpI7Rxx1bplw4Thydj/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 — Grain Watch capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "grain-watch-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XN5VkLPw6XMatHSLfQyLUCDpI7Rxx1bplw4Thydj/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 Grain Watch owners ask.

  • 01

    Can my AI detect hot spots developing in my grain silos before spoilage occurs?

    Yes! Use the get_hotspot_alerts capability to check for active hot spot detections across your silos. Hot spots are localized temperature increases that indicate early biological activity (mold, insects, or grain respiration) before visible spoilage. For trend analysis, use get_temperature_history to see how temperatures have been changing over the past days or weeks. Early hot spot detection gives you critical time to activate aeration and prevent grain loss.

  • 02

    How do I get the AI spoilage risk assessment for my silos?

    Use the get_spoilage_risk capability with your silo ID. Grain Watch AI analyzes temperature trends, humidity patterns, and grain type to provide a risk level (low, moderate, high, critical), contributing factors, predicted days until spoilage if conditions persist, and recommended preventive actions. This combines multiple data sources into a single actionable assessment. For a facility-wide view, use get_facility_overview to see overall risk across all silos.

  • 03

    Can I check the health of my temperature sensors to ensure reliable monitoring?

    Yes! Use the get_sensor_health capability with your silo ID to check the status of all temperature and humidity sensors. This shows which sensors are active, offline, or faulted, along with last communication times and battery levels for wireless sensors. You can also use get_sensor_map to see the physical layout of all sensors in a silo, helping you understand which zones each sensor monitors.

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