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Connect Price Forecast Model to ChatGPT, Claude and Gemini

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 energy price paths and market sentiment with precision.

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 Price Forecast Model.

  1. 01

    Get scenario probabilities

    This capability calculates the likelihood of Bullish, Bearish, or Neutral market directions. It uses supply, demand, and macro inputs to determine these probabilities.

  2. 02

    Analyze curve vs history

    This capability compares current market forward curves against historical price patterns. It helps you identify market mispricing or extreme sentiment shifts.

  3. 03

    Get price confidence intervals

    This capability provides the range of potential price outcomes. It shows the level of uncertainty surrounding a specific forecast.

  4. 04

    Get price trajectory

    This capability retrieves the central predicted price path for a specific commodity. You can specify the timeframe for the prediction.

Real work

What teams actually run

01

Predicting Oil Trends

An analyst asks the agent for the 12-month crude oil trajectory to inform a position.

02

Assessing Gas Volatility

A risk manager uses confidence intervals to understand the potential range of natural gas prices.

03

Detecting Market Mispricing

A trader compares current forward curves to history to see if sentiment is too extreme.

04

Scenario Planning

A strategist calculates the probability of a bearish move following a supply increase.

One connector, every AI

Price Forecast 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 Price Forecast 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

909ms average. Fast in production.

Price Forecast Model is checked daily against the live service.

Daily averagePeak 1060ms
Oct 3Today
Fastest day
744ms
Slowest day
1060ms
14-day trend
Slowing+7%

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 Price Forecast Model, so you can see the experience inside your AI.

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

Price Forecast Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_nxd0M5fGoYDOgkJRXRKQZzSaQ4TLHzPYZGQM6sHM/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 — Price Forecast Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "price-forecast-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nxd0M5fGoYDOgkJRXRKQZzSaQ4TLHzPYZGQM6sHM/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 Price Forecast Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Price Forecast Model owners hand off.

Energy professionals and financial analysts use this MCP to automate complex market modeling within their existing AI workflows.

  • 01

    Energy Traders

    They hand off the task of calculating scenario probabilities and price paths to their agent.

  • 02

    Commodity Analysts

    They use the MCP to compare forward curves against historical data for mispricing checks.

  • 03

    Risk Managers

    They rely on the agent to pull confidence intervals to quantify market uncertainty.

FAQ

Questions Price Forecast Model owners ask.

  • 01

    What commodities can this MCP model?

    The MCP is designed for energy commodities, including oil and gas.

  • 02

    How do I use this with Claude or Cursor?

    You connect once through Vinkius. After connecting, your AI client can immediately call the capabilities provided by this MCP.

  • 03

    Can the AI tell me if a market is overvalued?

    Yes. You can use the capability that compares current forward curves against historical price patterns to identify mispricing.

  • 04

    Does this MCP require me to host anything?

    No. Vinkius hosts and manages the MCP for you. You only need to connect your client.

  • 05

    What kind of market directions can it predict?

    The MCP calculates the likelihood of Bullish, Bearish, and Neutral market directions.

  • 06

    What commodities can I forecast?

    The model supports primary energy benchmarks including crude oil, natural gas, and regional commodities like European natural gas or diesel.

  • 07

    How are the price trajectories calculated?

    Trajectories are calculated by integrating historical prices, forward curves, and supply/demand fundamentals, while accounting for seasonality and mean reversion.

  • 08

    Can I model specific supply shocks?

    Yes, you can use get_scenario_probabilities with the supplyShockMagnitude parameter to see how unexpected supply changes affect market probabilities.

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