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Connect Centaur Analytics to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn sensor data into predictive spoilage alerts through your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 12 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through Centaur Analytics.

  1. 01

    Get current readings

    Fetches real-time CO2, moisture, and temperature data from all sensors in a bin. This is the primary way to check immediate storage conditions.

  2. 02

    Get facility overview

    Summarizes the status of the entire storage facility. This is useful for high-level reporting on total inventory and overall risk levels.

  3. 03

    Get bin details

    Provides metadata and context for a specific storage bin. This helps your agent understand what grain is stored and where the bin is located before running analysis.

  4. 04

    Get bins

    Lists every monitored grain bin, including its current fill level and status. Use this to get a quick inventory of your storage capacity.

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through Centaur Analytics.

  1. 05

    Get co2 history

    Retrieves time-series CO2 data in ppm to help your agent track biological activity and spoilage trends. Use this to see if CO2 levels are rising in specific bins over a set period.

  2. 06

    Get moisture history

    Returns historical moisture content data to track migration patterns and condensation risks. It helps your agent evaluate if drying efforts are working.

  3. 07

    Get quality forecast

    Uses simulation models to predict future grain quality based on current data and weather forecasts. This helps you time your marketing decisions.

  4. 08

    Get quality report

    Generates a complete grain condition assessment including test weight estimates and mycotoxin risk. Your agent uses this to provide formal documentation for a specific bin.

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through Centaur Analytics.

  1. 09

    Get sensor health

    Checks the battery levels and signal strength of your wireless sensor network. Use this to identify which sensors need maintenance or battery changes.

  2. 10

    Get spoilage predictions

    Provides machine learning-based spoilage risk levels and estimated days until spoilage. Use this to plan proactive interventions before grain degrades.

  3. 11

    Get temperature history

    Accesses historical temperature data to help your agent identify hot spots or evaluate aeration effectiveness. It tracks temperature changes across different sensor depths.

  4. 12

    Get alerts

    Lists all active warnings and critical alerts like high CO2 or sensor failures. Your agent can monitor these to notify you of immediate risks.

Real work

What teams actually run

01

Early Spoilage Intervention

Your agent detects a rise in CO2 levels and alerts you to start aeration before a hot spot develops.

02

Marketing Optimization

Use quality forecasts to decide whether to sell grain now or hold it in storage for better pricing.

03

Inventory Auditing

Ask your agent for a full facility overview to quickly verify fill levels and grain types across all bins.

04

Maintenance Planning

Identify specific sensors with low battery levels to schedule repairs before they go offline.

Automate a task

Put Centaur Analytics to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Centaur Analytics works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Centaur Analytics to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

907ms average. Fast in production.

Centaur Analytics is checked daily against the live service.

Daily averagePeak 1084ms
Oct 3Today
Fastest day
692ms
Slowest day
1084ms
14-day trend
Improving-6%

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 Centaur Analytics, so you can see the experience inside your AI.

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

Centaur Analytics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_JAUlTOok6viAadhbZwv9ZjIVKtoBneQMgOzJf2Ty/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 — Centaur Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "centaur-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JAUlTOok6viAadhbZwv9ZjIVKtoBneQMgOzJf2Ty/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

Guided setup for Claude? Set up Centaur Analytics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Centaur Analytics owners hand off.

This MCP is built for professionals managing large-scale grain storage who need to move from reactive to proactive management.

  • 01

    Grain Farmers

    Use the agent to monitor bin conditions and time grain sales based on quality forecasts.

  • 02

    Elevator Operators

    Hand off the task of monitoring hundreds of bins to an AI that flags specific spoilage risks.

  • 03

    Facility Managers

    Use the agent to get high-level facility summaries and manage sensor maintenance schedules.

  • 04

    Commodity Traders

    Leverage quality forecasts to predict value changes and make better trading decisions.

FAQ

Questions Centaur Analytics owners ask.

  • 01

    How do I connect my Centaur data to Claude?

    Once you subscribe to the MCP on Vinkius, you simply enter your Centaur API credentials. After that, you can use the MCP directly within Claude or any other compatible client.

  • 02

    Can the AI predict when my grain will spoil?

    Yes. The MCP includes a capability that uses machine learning to provide spoilage risk levels and estimated days until spoilage onset.

  • 03

    What kind of sensors does this MCP work with?

    This MCP works with Centaur's wireless sensor network that measures CO2, moisture, and temperature throughout the grain mass.

  • 04

    Does this replace my existing Centaur dashboard?

    It doesn't replace it, but it changes how you interact with it. Instead of clicking through menus, you can use natural language to get specific data or reports.

  • 05

    Can I get reports for insurance purposes?

    Yes. You can ask your agent to generate a comprehensive quality report for a specific bin, which includes moisture stability and temperature uniformity.

  • 06

    Can my AI predict when grain spoilage will start in my storage bin?

    Yes! Use the get_spoilage_predictions capability with your bin ID. Centaur AI analyzes CO2 trends, moisture patterns, and temperature data to predict spoilage risk (low, moderate, high, critical) and estimated days until spoilage onset. For deeper analysis, combine with get_co2_history to see the CO2 trend that drives the prediction. CO2 is the earliest spoilage indicator, often rising days before temperature changes become apparent.

  • 07

    How do I monitor CO2 levels to detect early signs of grain spoilage?

    Use get_current_readings for real-time CO2 levels across all sensor positions in a bin, then use get_co2_history with a 30-day lookback to identify trends. CO2 levels above 1500 ppm indicate biological activity, and rising trends signal developing spoilage. Set up get_alerts to receive automatic warnings when CO2 exceeds safe thresholds. Early CO2 detection gives you 7-14 days more lead time than temperature-based monitoring alone.

  • 08

    Can I get an AI-generated quality report for a specific bin to share with buyers?

    Yes! Use the get_quality_report capability with your bin ID to generate a comprehensive AI-powered quality report. This combines current sensor readings, historical trends, spoilage predictions, and quality forecasts into a single professional report including test weight estimates, moisture stability analysis, temperature uniformity, and mycotoxin risk evaluation. Perfect for buyer communications, insurance documentation, and quality certification.

Connect Centaur Analytics to Claude, Cursor, ChatGPT & more