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Connect Commodity Selection Index 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. Identify momentum trends by measuring price against volatility.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Commodity Selection Index Calculator.

  1. 01

    Validate market data

    This capability checks your price arrays to ensure they are mathematically viable. It catches errors like a high price being lower than a low price before you start your analysis.

  2. 02

    Calculate csi series

    This capability generates a complete time-series of normalized Commodity Selection Index values. It processes your price data into a continuous stream of CSI readings.

  3. 03

    Get csi signals

    This capability interprets specific CSI values to provide qualitative trading signals. It tells you if a reading indicates overbought or oversold conditions based on momentum and volatility.

Real work

What teams actually run

01

Trend Identification

Use the CSI series to find periods where momentum is rising while volatility remains controlled.

02

Overbought Detection

Identify when a commodity is reaching extreme momentum levels that suggest a reversal.

03

Data Pre-processing

Run validation on incoming market feeds to ensure high and low prices are logically consistent.

04

Automated Signal Generation

Have your agent monitor CSI levels and flag specific signals for review.

One connector, every AI

Commodity Selection Index Calculator 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 Commodity Selection Index Calculator 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

864ms average. Fast in production.

Commodity Selection Index Calculator is checked daily against the live service.

Daily averagePeak 1010ms
Oct 3Today
Fastest day
671ms
Slowest day
1010ms
14-day trend
Improving-6%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Commodity Selection Index Calculator, so you can see the experience inside your AI.

It does not authenticate your account with Commodity Selection Index Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Commodity Selection Index Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_jMsiZ5ZeqFUln6FsK7DDDAqhliK4Jy4i9BM7fe7A/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 — Commodity Selection Index Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "commodity-selection-index-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_jMsiZ5ZeqFUln6FsK7DDDAqhliK4Jy4i9BM7fe7A/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 Commodity Selection Index Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Commodity Selection Index Calculator owners hand off.

Quantitative traders and financial analysts use this MCP to automate technical indicator calculations within their AI workflows.

  • 01

    Quantitative Traders

    They hand off raw price data to the agent to get normalized CSI time-series.

  • 02

    Financial Analysts

    They use the capability to interpret market signals and identify extreme momentum conditions.

  • 03

    Algorithmic Developers

    They use the validation capability to ensure their datasets are clean before running models.

FAQ

Questions Commodity Selection Index Calculator owners ask.

  • 01

    What is the Commodity Selection Index?

    It is a metric that measures the ratio of momentum to volatility to help identify clean price trends.

  • 02

    How do I use this with Claude or Cursor?

    You connect to the Vinkius hosted MCP once, and then your AI client can call the capabilities directly through the standard protocol.

  • 03

    Can this MCP validate my market data?

    Yes, the validate_market_data capability checks that your high, low, and close price arrays are mathematically sound.

  • 04

    What kind of signals does it provide?

    The get_csi_signals capability provides qualitative signals, such as identifying overbought or oversold conditions.

  • 05

    Do I need to host the MCP myself?

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

  • 06

    What is the Commodity Selection Index (CSI)?

    The CSI is a technical indicator that measures price momentum relative to volatility, helping traders find strong trends that are not just market noise.

  • 07

    How do I know if a trend is strong?

    You can use get_csi_signals to analyze specific values. High values (above 80) indicate strong momentum, while low values (below 20) suggest low momentum relative to volatility.

  • 08

    Can I validate my data before calculating the index?

    Yes, the validate_market_data capability checks if your high, low, and close price arrays are mathematically consistent and have matching lengths.

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