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Connect Nutrient Runoff Loss 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 how nitrogen and phosphorus move from your fields.

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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 Nutrient Runoff Model.

  1. 01

    Calculate nutrient loss

    This capability calculates the mass of specific nutrient losses based on your current field conditions and weather data.

  2. 02

    Get incorporation risk factor

    This capability provides a multiplier that shows how much nutrient loss increases based on how long nutrients sit on the soil surface.

  3. 03

    Compare management strategies

    Use this to compare two different application or timing scenarios to see which one results in lower nutrient loss.

  4. 04

    Predict edge of field loading

    This capability predicts the total nutrient mass that reaches the field boundary for a specific scenario.

Real work

What teams actually run

01

Fertilizer Timing Optimization

Compare two different application dates to see which one minimizes nitrogen runoff during a rain event.

02

Runoff Impact Prediction

Estimate the total phosphorus mass leaving a field boundary to assess environmental impact.

03

Risk Management

Calculate how much a delay in incorporating fertilizer into the soil will increase nutrient vulnerability.

04

Field Condition Modeling

Input specific soil N and P levels to get a baseline for expected nutrient loss.

One connector, every AI

Nutrient Runoff Model 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 Nutrient Runoff Model 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

897ms average. Fast in production.

Nutrient Runoff Model is checked daily against the live service.

Daily averagePeak 1040ms
Oct 3Today
Fastest day
666ms
Slowest day
1040ms
14-day trend
Slowing+14%

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 Nutrient Runoff Model, so you can see the experience inside your AI.

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

Nutrient Runoff Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_CBjKmN3k2rJc2s7WTKnsnXmuNTXiOY2bIVPHs1AW/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 — Nutrient Runoff Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "nutrient-runoff-loss-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CBjKmN3k2rJc2s7WTKnsnXmuNTXiOY2bIVPHs1AW/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 Nutrient Runoff Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Nutrient Runoff Model owners hand off.

This MCP is built for professionals managing agricultural runoff and soil health.

  • 01

    Agronomists

    Use the AI to test fertilizer application timing and soil incorporation delays.

  • 02

    Environmental Scientists

    Hand off field data to the AI to model nutrient transport into water bodies.

  • 03

    Farm Managers

    Run different management scenarios to minimize nutrient loss from their land.

FAQ

Questions Nutrient Runoff Model owners ask.

  • 01

    What nutrients does this MCP model?

    The model specifically tracks nitrogen and phosphorus losses.

  • 02

    Can I compare two different fertilizer plans?

    Yes, you can use the compare_management_strategies capability to see which scenario results in lower nutrient loss.

  • 03

    How does weather affect the results?

    The model uses rainfall intensity and other weather conditions to calculate how much nutrient mass is lost to runoff.

  • 04

    Does it account for soil slope?

    Yes, the model includes slope as a factor when calculating nutrient transport and loss.

  • 05

    What is the incorporation risk factor?

    It is a multiplier that increases the predicted nutrient loss based on how long nutrients sit on the soil surface before being incorporated.

  • 06

    How does incorporation timing affect the results?

    A longer delay between fertilizer application and soil incorporation increases the risk of nutrient loss. You can use get_incorporation_risk_factor to calculate this specific multiplier.

  • 07

    What is the difference between dissolved and particulate loss?

    Dissolved loss refers to nutrients soluble in water, while particulate loss refers to nutrients bound to soil particles that are washed away during erosion.

Explore

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