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Connect Cotton Gin Performance Calculator to your AI

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 raw module data into precise ginning analytics.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Cotton Ginning Analytics.

  1. 01

    Validate input quality

    This capability checks if current module inputs like moisture and trash are within your acceptable operational limits. It acts as a guardrail for your processing quality.

  2. 02

    Calculate yield metrics

    This capability determines the fundamental weight breakdowns of lint and seed from a specific module. It provides the core mass distribution data you need.

  3. 03

    Estimate gin revenue

    This capability calculates the total economic value generated from a processed module. It accounts for the specific value of the output to give you a clear financial picture.

  4. 04

    Get processing efficiency

    This capability determines the throughput rate of your ginning operation. It helps you monitor how fast you are moving through your current load.

Real work

What teams actually run

01

Daily Revenue Tracking

Calculate the total economic value of all modules processed during a shift.

02

Input Quality Audits

Verify that incoming modules meet moisture and trash requirements before processing.

03

Yield Reporting

Generate precise lint and seed weight reports for specific module batches.

04

Efficiency Benchmarking

Track throughput rates to see how the ginning operation is performing against targets.

One connector, every AI

Cotton Ginning 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Cotton Ginning 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

863ms average. Fast in production.

Cotton Ginning Analytics is checked daily against the live service.

Daily averagePeak 1027ms
Oct 3Today
Fastest day
728ms
Slowest day
1027ms
14-day trend
Slowing+17%

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

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

Cotton Ginning Analytics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_w9BuzeDLuI5ZmZLHhaa7BemQGwK5QUVweXxfhAdp/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 — Cotton Ginning Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cotton-gin-performance-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_w9BuzeDLuI5ZmZLHhaa7BemQGwK5QUVweXxfhAdp/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 Cotton Ginning Analytics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Cotton Ginning Analytics owners hand off.

This MCP is built for professionals managing cotton ginning operations who need to turn field data into financial and operational reports.

  • 01

    Gin Managers

    They hand off module data to the AI to monitor throughput and quality limits.

  • 02

    Agricultural Analysts

    They use the capability to calculate precise yield metrics and revenue projections.

  • 03

    Operations Supervisors

    They rely on the MCP to ensure input quality stays within safe parameters.

FAQ

Questions Cotton Ginning Analytics owners ask.

  • 01

    What can this MCP calculate?

    It calculates lint and seed weight breakdowns, total economic revenue including premiums, and ginning throughput efficiency.

  • 02

    How do I use this with Claude or Cursor?

    You connect to the Vinkius hosted MCP once, and then your AI client can immediately use the capabilities provided.

  • 03

    Can it check for moisture levels?

    Yes, the validate_input_quality capability checks if moisture and trash content are within your operational limits.

  • 04

    Does it handle quality premiums?

    Yes, the estimate_gin_revenue capability includes quality premiums in its economic value calculations.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately upon connection.

  • 06

    How does the capability calculate the number of bales?

    The calculate_yield_metrics capability divides the total lint weight by the standard bale weight of 227 kg.

  • 07

    Can I include quality premiums in my revenue estimation?

    Yes, the estimate_gin_revenue capability accepts an optional quality premium to account for higher value lint.

  • 08

    How is processing efficiency measured?

    The get_processing_efficiency capability calculates both the lint weight processed per minute and the bales produced per hour.

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