How to Use the Centaur Analytics MCP in Claude Code

Q: How do I use Claude Code and Centaur Analytics to monitor for sensor failures?

Run a cron job with the command: claude mcp call centaur-analytics-mcp getsensorhealth --binid 5. Then pipe the JSON output to a script that checks for 'offline' status or low battery levels and sends an alert.

Q: Can I pull historical data from Centaur Analytics using Claude Code?

Yes. Use the gettemperaturehistory, getmoisturehistory, or getco2history tools. For example: claude mcp call centaur-analytics-mcp gettemperaturehistory --binid 2 --days 90 will dump 90 days of temperature data as JSON.

Q: How do I get a list of all my bins with Claude Code and Centaur Analytics?

It's a single command: claude mcp call centaur-analytics-mcp getbins. This will return a JSON array of all your monitored bins, which you can then pipe to other commands like jq for filtering or processing.

Q: Is this MCP Server suitable for automated reporting?

Perfectly. You can set up a weekly script that calls getqualityreport for your most important bins and saves the output. Since it's all command-line, it integrates directly into any existing automation or backup system.

Pipe real-time grain data into your scripts. Monitor spoilage and sensor health from the terminal with Claude Code.

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Setup Centaur Analytics with Claude Code

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Automate Alerts in Your CI/CD Pipeline

Set up a cron job that runs `claude mcp call centaur-analytics-mcp get_alerts`. Pipe the output to `jq` to check for 'critical' severity alerts. If something is found, trigger a PagerDuty notification. This isn't for conversational chat; it's for building automated monitoring systems that run headlessly. This MCP Server is your backend for grain data operations. You can build a shell script that runs daily, calls `get_quality_report` for high-value bins, and archives the JSON output to S3 for compliance. It's all done from the command line.

Headless Monitoring and Data Extraction

Need to pull data for an external analytics platform? Just run `claude mcp call centaur-analytics-mcp get_co2_history --days 30 --bin_id 4 > co2_data.json`. The command-line interface is built for this kind of direct, non-interactive data extraction. You can integrate these calls into any automated workflow. A GitHub Action could run `get_facility_overview` on every commit to a main branch to ensure your reporting dashboard's data source is always fresh. It's a reliable data API for your scripts.

Script Your Entire Grain Ops Workflow

Combine tools to create powerful shell scripts. Write a script that first calls `get_bins`, then iterates through the list. For each bin, it calls `get_spoilage_predictions`. If the risk is 'high' or 'critical', it then calls `get_bin_details` and logs the information to a file for review. Because Claude Code is just a CLI, you can compose these tools with standard Unix commands. Grep for specific alerts, sort bins by moisture content, or diff quality reports over time. You have the full power of your terminal.

Setup guide

Set up Centaur Analytics 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 user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see centaur-analytics-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Centaur Analytics transactions." It will automatically discover and invoke the available Centaur Analytics tools.

Terminal

claude mcp add --transport http centaur-analytics-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Centaur Analytics MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "centaur-analytics-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Centaur Analytics MCP in Claude Code

Run a cron job with the command: `claude mcp call centaur-analytics-mcp get_sensor_health --bin_id 5`. Then pipe the JSON output to a script that checks for 'offline' status or low battery levels and sends an alert.

Yes. Use the `get_temperature_history`, `get_moisture_history`, or `get_co2_history` tools. For example: `claude mcp call centaur-analytics-mcp get_temperature_history --bin_id 2 --days 90` will dump 90 days of temperature data as JSON.

It's a single command: `claude mcp call centaur-analytics-mcp get_bins`. This will return a JSON array of all your monitored bins, which you can then pipe to other commands like `jq` for filtering or processing.

Perfectly. You can set up a weekly script that calls `get_quality_report` for your most important bins and saves the output. Since it's all command-line, it integrates directly into any existing automation or backup system.

Yes. The server only sees the grain sensor data (CO2, moisture, etc.) for the specific tool you call. Vinkius enforces a zero-trust model, and the connection token is scoped only to this one MCP server, so your other system data is never exposed.

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