How to Use the Bollinger Bands Engine MCP in Cursor

Generate code that calculates Bollinger Bands in Cursor using real financial time-series data.

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Connect Bollinger Bands Engine MCP to Cursor

Create your Vinkius account to connect Bollinger Bands Engine to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bollinger Bands Engine with Cursor

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Inject live math into your Cursor workspace

The `calculate_bollinger_bands` tool executes deterministic math on numeric arrays directly inside your code editor. Your agent calls this tool to populate your active files with real financial bands rather than mock data. This means you write and test your algorithmic trading logic with actual calculated values. No more writing placeholder arrays or stubbing out the math.

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The `calculate_bollinger_bands` tool calculates exact Upper, Middle, and Lower bands using your specified period and standard deviation. It integrates with Cursor Agent mode so the AI can test your strategy logic against real math. You get clean mathematical outputs back in your editor. It speeds up the development of backtesting scripts and execution bots.

Feed array data from active code files

The `calculate_bollinger_bands` tool processes array variables defined right inside your active editor tabs. Cursor reads the file context, sends the data to the engine, and returns the bands. This workflow cuts out the need to jump to a terminal. The calculations happen via MCP right where you write your code.

Setup guide

Set up Bollinger Bands Engine MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Bollinger Bands Engine MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Bollinger Bands Engine transactions." If the MCP tools are loaded correctly, Cursor will call the Bollinger Bands Engine tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "bollinger-bands-engine-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Bollinger Bands Engine MCP in Cursor

Add the server configuration to your project's .cursor/mcp.json file. Cursor will automatically detect the tool and make it available in your Agent chat.

Yes, the tool accepts optional period and stdDev parameters directly from your editor. Cursor passes these values to the engine to return tailored volatility bands.

You can feed any numeric array to the tool to generate exact mathematical outputs. This lets you populate your unit tests with real, deterministic financial calculations.

No, you do not need numpy or pandas installed. The server handles all standard deviation math externally and returns raw JSON.

The engine operates inside a zero-trust, ephemeral V8 sandbox. Your raw price arrays are processed in memory and deleted immediately after the calculation.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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