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Vinkius

Centaur Analytics Connector for AI agents.

12 live capabilities

Monitor grain storage quality and predict spoilage risks in real time.

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AI Agent

Why people use Centaur Analytics

Stop Guessing at Spoilage with Centaur Analytics Grain Monitoring

This Connector puts that data front and center. Instead of digging through rows of numbers, you just ask your agent for a status update. It pulls the latest readings, checks them against your history, and tells you exactly what needs attention. You get a clear picture of your facility's health in seconds.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a conversational interface for complex grain storage analytics.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Spotting a hot spot

    A facility manager asks the agent to check for temperature spikes in the north wing and uses get_temperature_history to find a specific bin with rising heat.

  2. Real-world use case 02

    Marketing a crop

    A trader wants to know if the soybeans are still premium; they use get_quality_forecast to see if the quality will hold for another month.

  3. Real-world use case 03

    Routine maintenance

    An operator asks the agent to find all sensors with low batteries and uses get_sensor_health to create a replacement list.

Complete set · 12capabilities

The complete Centaur Analytics capability set.

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

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 12 available through Centaur Analytics.

  1. 01 Capability

    Get alerts

    This capability shows all active warnings for high CO2, rising temperatures, or sensor failures. Use it to see exactly what needs immediate attention.

  2. 02 Capability

    Get bin details

    This capability pulls metadata for a specific bin, like grain type and current fill levels. It gives you the context you need before analyzing sensor data.

  3. 03 Capability

    Get bins

    This capability lists every grain storage bin monitored by the system with its current status. It helps you manage your inventory and find specific bins quickly.

  4. 04 Capability

    Get co2 history

    This capability shows historical CO2 levels to identify early signs of biological activity. It is useful for tracking spoilage trends over time.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 12 available through Centaur Analytics.

  1. 05 Capability

    Get current readings

    This capability fetches live CO2, moisture, and temperature data from all sensors in a bin. Use it to get an immediate look at current storage conditions.

  2. 06 Capability

    Get facility overview

    This capability provides a high-level summary of your entire grain storage facility for executive reporting. It gives you a quick look at the overall health of your inventory.

  3. 07 Capability

    Get moisture history

    This capability tracks moisture migration and condensation patterns over time. It helps you detect quality risks and assess drying effectiveness.

  4. 08 Capability

    Get quality forecast

    This capability provides a simulation of what your grain quality will look like in the coming weeks. It helps you plan your marketing timing and storage duration.

Capability set03 / 03

09—12

4 capabilities in this set.

Part of 12 available through Centaur Analytics.

  1. 09 Capability

    Get quality report

    This capability generates a full condition assessment for a specific grain bin. It includes risk factors, test weight estimates, and actionable advice.

  2. 10 Capability

    Get sensor health

    This capability shows battery levels and signal strength for your wireless sensor network. Use it to identify which sensors need maintenance or replacement.

  3. 11 Capability

    Get spoilage predictions

    This capability gives you a risk level and an estimated count of days until spoilage begins. It helps you take proactive steps to preserve grain quality.

  4. 12 Capability

    Get temperature history

    This capability reviews temperature trends to find hot spots or aeration issues. It is essential for identifying active spoilage or mold growth.

Set up in minutes

One URL. Then ask Centaur Analytics to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Centaur Analytics from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_JAUlTOok6viAadhbZwv9ZjIVKtoBneQMgOzJf2Ty/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Centaur Analytics, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Centaur Analytics for the conversation.

Where the request belongs

Work Centaur Analytics can move forward.

Built around the request

This is for the people responsible for millions of dollars of grain. It's for the folks who can't afford a 'we didn't know it was spoiling' excuse and need to see the invisible conditions inside a storage bin.

01

Grain Elevator Operator

Manages hundreds of bins and needs to spot hot spots or moisture issues instantly without manual inspection.

02

Grain Farmer

Needs to know the exact quality of their stored crop to time the market and maximize profit.

03

Facility Manager

Oversees the hardware and wants to know which sensors need a battery change or are reporting signal issues.

04

Commodity Trader

Needs accurate, real-time quality data to make high-stakes pricing and forward contracting decisions.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
AgroLog logo
01 11 capabilities

AgroLog

Access grain monitoring data via AgroLog. monitor temperature, moisture, CO2, crop levels, weather, and control aeration systems from any AI agent.

View Connector
Grain Watch logo
02 12 capabilities

Grain Watch

Access silo temperature monitoring via Grain Watch. track grain temperature, humidity, hot spots, and spoilage risk from any AI agent.

View Connector
GrainSure logo
03 12 capabilities

GrainSure

Access silo monitoring via GrainSure. track grain fill levels, usage rates, predicted days to empty, and manage deliveries from any AI agent.

View Connector
Wiagro logo
04 12 capabilities

Wiagro

Access smart silobag monitoring via Wiagro. track temperature, humidity, CO2, rupture detection, and grain quality from any AI agent.

View Connector
Harvest Loss Calculator logo
05 3 capabilities

Harvest Loss Calculator

Quantify physical and financial grain losses during harvest.

View Connector
OneSoil logo
06 9 capabilities

OneSoil

Manage agricultural fields, monitor crop health via NDVI, and access hyper-local weather data directly from your AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Centaur Analytics connected.

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Before you connect

Questions about Centaur Analytics.

The practical details behind the request, access and result.

Can Centaur Analytics help me predict when my grain will spoil?

Yes, it uses machine learning to provide a specific risk level and an estimated countdown of days until spoilage begins. This helps you move from reactive fixes to proactive management.

How does Centaur Analytics show me moisture migration?

It tracks moisture levels over time across different sensor positions. This allows you to see if moisture is moving into your grain or if condensation is forming.

Can I use Centaur Analytics to manage my sensor batteries?

Yes, it can identify exactly which sensors in your network are low on power or offline, allowing you to schedule maintenance without checking every bin manually.

Will Centaur Analytics help me with marketing my grain?

It provides quality forecasts that show how your grain quality is expected to hold up over the coming weeks, helping you time your sales for maximum profit.

Can I get a full report for my grain bins using Centaur Analytics?

Yes, it can generate a comprehensive condition assessment for any specific bin, including risk factors and actionable advice for your records.

How does Centaur Analytics handle CO2 tracking?

It monitors CO2 levels as a primary indicator of biological activity. By tracking these trends, it can alert you to potential spoilage long before it becomes visible.

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.

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.

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.

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