ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Price Forecast Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Generate energy price trajectories, confidence intervals, and market scenario probabilities.

Included with plan

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

Complete set · 4 capabilities

The complete Price Forecast Model capability set.

These are the exact actions your AI can choose when you ask it to work with Price Forecast Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Price Forecast Model.

  1. 01

    Get scenario probabilities

    Determine the likelihood of different market directions (Bullish, Bearish, Neutral) based on supply/demand and macro inputs

  2. 02

    Analyze curve vs history

    Compare current market forward curves against historical price patterns to identify market mispricing or extreme sentiment

  3. 03

    Get price confidence intervals

    Understand the range of potential price outcomes and the level of uncertainty in the forecast

  4. 04

    Get price trajectory

    Retrieve the central predicted price path for a specific commodity over a given timeframe

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.

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

948ms average. Fast in production.

Price Forecast Model is checked daily against the live service.

Daily averagePeak 965ms
Sep 10Today
Fastest day
938ms
Slowest day
965ms
14-day trend
Stable+3%

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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Price Forecast Model owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.