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Connect Production Forecasting 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. Get accurate production profiles and economic limits 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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Production Forecasting Model.

  1. 01

    Calculate economic limit

    This capability finds the exact point when a field stops being profitable. It uses your economic data to determine the abandonment threshold.

  2. 02

    Evaluate well density impact

    This capability analyzes how changing the number of wells in a field affects peak production and total recovery. It helps you understand the trade-offs in well spacing.

  3. 03

    Forecast production profile

    This capability generates projected production rates over a specific timeframe. It uses reservoir data to build a production timeline.

  4. 04

    Apply facility constraints

    This capability modifies theoretical production forecasts to match real-world equipment limits. It ensures your projections don't exceed physical facility capacity.

Real work

What teams actually run

01

Economic Planning

Calculate when a field will hit its economic limit to plan for abandonment.

02

Facility Optimization

Adjust production forecasts to ensure they stay within the limits of your hardware.

03

Development Strategy

Test how different well densities will change your peak production and total recovery.

04

Reservoir Modeling

Generate production profiles using porosity, permeability, and pressure data.

One connector, every AI

Production Forecasting 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 Production Forecasting 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

917ms average. Fast in production.

Production Forecasting Model is checked daily against the live service.

Daily averagePeak 1116ms
Oct 3Today
Fastest day
794ms
Slowest day
1116ms
14-day trend
Slowing+11%

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 Production Forecasting Model, so you can see the experience inside your AI.

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

Production Forecasting Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_koEsD1f0AKGo3EznOsJllWY6D167wtTr2JxffAm1/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 — Production Forecasting Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "production-forecasting-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_koEsD1f0AKGo3EznOsJllWY6D167wtTr2JxffAm1/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 Production Forecasting Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Production Forecasting Model owners hand off.

This MCP is built for professionals managing upstream assets who need quick technical calculations within their AI workflows.

  • 01

    Reservoir Engineer

    Uses the MCP to run quick DCA forecasts and sensitivity studies.

  • 02

    Production Engineer

    Applies facility constraints to theoretical models to get realistic rates.

  • 03

    Asset Manager

    Determines economic life and profitability windows for field planning.

FAQ

Questions Production Forecasting Model owners ask.

  • 01

    What AI clients can use this MCP?

    You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 02

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and it works.

  • 03

    Can this MCP handle facility limitations?

    Yes, the apply_facility_constraints capability adjusts theoretical forecasts to account for physical equipment limits.

  • 04

    How does it handle economic calculations?

    The calculate_economic_limit capability determines when a field will cease to be profitable based on your provided data.

  • 05

    Can I test well spacing impacts?

    Yes, the evaluate_well_density_impact capability analyzes how changing the number of wells affects peak production and total recovery.

  • 06

    How do I forecast future production?

    You can use the forecast_production_profile capability by providing reservoir characteristics, the number of wells, the drive mechanism, and the desired time horizon.

  • 07

    Can I account for facility limitations?

    Yes, the apply_facility_constraints capability allows you to cap theoretical production rates based on the maximum capacity of your equipment.

  • 08

    How is the economic life of a field determined?

    The calculate_economic_limit capability determines the end of profitability by comparing the production profile against operating costs and market prices.

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