How to Use the Monetary Correction Engine MCP in Cursor

Q: How do I add the Monetary Correction Engine to Cursor?

Create a .cursor/mcp.json file in your project root and define the server under the mcpServers key. Once saved, enable Agent mode in your chat panel to let your editor use the tool.

Run precise compound interest adjustments inside Cursor and inject corrected financial values directly into your codebase.

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Connect Monetary Correction Engine MCP to Cursor

Create your Vinkius account to connect Monetary Correction 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 Monetary Correction Engine with Cursor

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Claude

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Inline Math with `calculate_monetary_correction`

The `calculate_monetary_correction` tool lets you calculate compound and simple interest corrections directly within your active code file. Cursor calls this tool during agent sessions to evaluate historical financial values without manual math. This calculation follows your exact parameters. Your agent writes the code, executes the local server math, and inserts the actual corrected value right into your test suites or database seeds.

Local Cursor MCP Server Execution

The `calculate_monetary_correction` tool runs completely offline using local configuration files to calculate inflation adjustments. Because this MCP Server operates locally on your machine, your financial indexes are loaded securely without external network calls. Look, the setup is simple. You define your historical index parameters in a local file, and the server computes the corrections. Your agent handles the rest, keeping your financial logic clean and secure.

Immediate Code Generation with Real Math

The `calculate_monetary_correction` tool acts as a secure MCP resource that ensures your generated code uses real, calculated financial values instead of hardcoded stubs. Cursor calls the tool to fetch precise historical adjustments, placing actual figures into your active workspace. It boils down to accuracy. You don't have to guess or write custom correction calculators in your code. The engine handles the heavy lifting, delivering verified math directly to your editor.

Setup guide

Set up Monetary Correction 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 Monetary Correction 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 Monetary Correction Engine transactions." If the MCP tools are loaded correctly, Cursor will call the Monetary Correction Engine tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Common questions about Monetary Correction Engine MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and define the server under the `mcpServers` key. Once saved, enable Agent mode in your chat panel to let your editor use the tool.

Yes, Cursor's Agent mode can automatically call the Monetary Correction Engine to run financial math. When you ask the agent to write a script involving financial adjustments, it invokes the tool to get real values.

No, this MCP Server runs entirely on your local machine using static index files. It computes all simple and compound interest corrections locally, ensuring you can work on financial code even when offline.

The engine relies on JavaScript numbers, which can lose precision for values exceeding 100 trillion. If you are writing code for extremely large financial adjustments, consider verifying the outputs with a specialized big integer library.

Your proprietary financial ledger data never leaves your computer. Cursor communicates with the local engine using secure inter-process communication, meaning your ledger balances and historical records remain fully isolated from external networks.

Use it with your favorite AI tools

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