What kind of coffee substrates does this MCP support?

The model handles different substrates including cherry and parchment.

How does this MCP help prevent stinker beans?

It manages moisture gradients across the beans to prevent the internal defects that cause stinker beans.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf.

What inputs do I need to calculate drying time?

You will need to provide current moisture levels, target moisture, temperature, airflow, and bean depth.

Does this MCP require me to host anything?

No, Vinkius hosts the MCP and manages everything so it is ready to use immediately.

How can I prevent stinker beans during drying?

You can use assess_moisture_gradient_risk to monitor the risk of case hardening and optimize_drying_parameters to adjust temperature and airflow to maintain a stable drying rate.

Does this model work for both cherry and parchment coffee?

Yes, the predict_cup_score capability specifically accounts for the substrateType, distinguishing between cherry and parchment drying kinetics.

Can I estimate the total drying time?

Yes, by using calculate_drying_duration, you can estimate the hours required based on initial moisture, target moisture, and the drying method used.

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Connect Coffee Drying Kinetics Model to ChatGPT and Claude

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. Predict drying times and prevent bean defects with kinetic modeling.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

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.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Coffee Drying Kinetics.

01
Assess moisture gradient risk
This capability predicts if uneven drying will cause internal defects in your beans. It identifies high-risk scenarios where the outer layer dries too fast compared to the core.
02
Calculate drying duration
Use this to estimate the exact time needed to hit a target moisture level. It factors in your current moisture, temperature, and airflow settings.
03
Optimize drying parameters
This capability suggests specific changes to your environment. It helps you find the right balance of temperature and airflow to maximize quality while saving time.
04
Predict cup score
This capability forecasts the final quality of your coffee. It uses the drying profile to estimate what the resulting cup score will look like.

Real work

What teams actually run

Preventing Case Hardening

Use the moisture gradient capability to ensure the outer layer of the bean doesn't dry too quickly and trap moisture inside.

Batch Scheduling

Calculate exactly when a batch will be ready for the next stage of processing.

Quality Benchmarking

Forecast cup scores to decide if drying conditions need to be adjusted for specialty lots.

Parameter Tuning

Adjust airflow and heat settings to find the most efficient drying path for parchment or cherry.

One connector, every AI

Coffee Drying Kinetics 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 Coffee Drying Kinetics 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

867ms average. Fast in production.

Coffee Drying Kinetics is checked daily against the live service.

Daily averagePeak 1214ms

Oct 3Today

Fastest day: 732ms
Slowest day: 1214ms
14-day trend: Slowing+27%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Coffee Drying Kinetics, so you can see the experience inside your AI.

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

Coffee Drying Kinetics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kbIUmBxqPEiAPzkDzFU9cDsLnuk70oIW0tJ0v8Hw/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Coffee Drying Kinetics capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "coffee-drying-kinetics-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kbIUmBxqPEiAPzkDzFU9cDsLnuk70oIW0tJ0v8Hw/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 Coffee Drying Kinetics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Coffee Drying Kinetics owners hand off.

This MCP is built for professionals managing coffee post-harvest processing. You hand off your environmental data to the AI to get actionable drying schedules.

01
Coffee Processors
They provide moisture and temperature data to get precise drying timelines.
02
Quality Control Managers
They use the model to predict cup scores and prevent batch defects.
03
Farm Managers
They use parameter optimization to manage drying infrastructure efficiently.

FAQ

Questions Coffee Drying Kinetics owners ask.

01
What kind of coffee substrates does this MCP support?
The model handles different substrates including cherry and parchment.
02
How does this MCP help prevent stinker beans?
It manages moisture gradients across the beans to prevent the internal defects that cause stinker beans.
03
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf.
04
What inputs do I need to calculate drying time?
You will need to provide current moisture levels, target moisture, temperature, airflow, and bean depth.
05
Does this MCP require me to host anything?
No, Vinkius hosts the MCP and manages everything so it is ready to use immediately.
06
How can I prevent stinker beans during drying?
You can use assess_moisture_gradient_risk to monitor the risk of case hardening and optimize_drying_parameters to adjust temperature and airflow to maintain a stable drying rate.
07
Does this model work for both cherry and parchment coffee?
Yes, the predict_cup_score capability specifically accounts for the substrateType, distinguishing between cherry and parchment drying kinetics.
08
Can I estimate the total drying time?
Yes, by using calculate_drying_duration, you can estimate the hours required based on initial moisture, target moisture, and the drying method used.

Explore

More in Agriculture

Connect Coffee Drying Kinetics to Claude, Cursor, ChatGPT & more

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

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Assess moisture gradient risk

Calculate drying duration

Optimize drying parameters

Predict cup score

What teams actually run

Preventing Case Hardening

Batch Scheduling

Quality Benchmarking

Parameter Tuning

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

Coffee Drying Kinetics Connector

Claude Desktop

Coffee Processors

Quality Control Managers

Farm Managers

What kind of coffee substrates does this MCP support?

How does this MCP help prevent stinker beans?

Can I use this with Claude or Cursor?

What inputs do I need to calculate drying time?

Does this MCP require me to host anything?

How can I prevent stinker beans during drying?

Does this model work for both cherry and parchment coffee?

Can I estimate the total drying time?

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