How to Use the AgroLog MCP in Claude Code
Run headless grain monitoring and automated aeration scripts directly from your terminal with Claude Code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AgroLog MCP to Claude Code
Create your Vinkius account to connect AgroLog to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Query grain telemetry from your terminal
The `get_device_telemetry` tool extracts historical time-series data for temperature, moisture, and CO2 directly into your shell. Claude Code allows you to query these metrics, filter by specific limits, and pipe the raw JSON output to other command-line utilities like jq or custom bash scripts. It is built for SREs and terminal users who want to monitor grain conditions without opening a browser. You can quickly compare these historical trends against live readings. Claude Code pulls the current numbers using `get_temperature` to verify if a specific silo's cooling cycle is working as expected.
Run headless AgroLog MCP Server automation scripts
The `set_relay_state` tool gives you terminal-based control over physical aeration fans, dryers, and ventilation systems. Claude Code can run cron jobs or shell scripts that trigger these relays when storage conditions degrade. You can manage your physical farm infrastructure directly from an SSH session or a remote terminal. Before toggling any hardware, the agent queries `get_alarms` to verify if any critical alerts are active. This prevents you from running equipment on a silo that already has an active equipment failure warning.
Audit multi-tenant farm devices via CLI
The `get_customer_devices` tool lists all monitoring devices registered to a specific customer or organization. Claude Code makes it easy to run batch audits across multiple farms, outputting device IDs, types, and operational statuses directly to your terminal. If a sensor goes offline, Claude Code uses `get_device_attributes` to inspect its calibration and placement metadata. You can diagnose connection issues and verify sensor placements without leaving your command line interface.
Set up AgroLog MCP in Claude Code
Prerequisites
- Claude Code CLI installed (
npm install -g @anthropic-ai/claude-code) - Active Vinkius subscription with a valid endpoint token
- 1
Run the add command
Open your terminal and run the command shown on the right. Replace
[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. Use--scope userto make it available across all projects. - 2
Verify the connection
Start a Claude Code session and type
/mcpto list connected servers. You should seeagrolog-mcpwith a green status indicator. - 3
Start using tools
Ask Claude Code something like "Check my latest AgroLog transactions." It will automatically discover and invoke the available AgroLog tools.
claude mcp add --transport http agrolog-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about AgroLog MCP in Claude Code
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the AgroLog MCP today
We host it, we monitor it, we maintain it. You just paste one token.