How to Use the Corrently Regional Green Index MCP in Cursor

Q: Does the Corrently Regional Green Index work in Cursor Agent mode?

Yes, Cursor Agent can independently call getregionalgreenindex to find clean energy windows. It uses these forecasts to write and modify your code based on real-time grid conditions.

Q: Can I mock the Corrently Regional Green Index responses inside Cursor?

You do not need to mock them because the getenergymarketdata tool pulls live market rates directly. This ensures your code is built and tested against actual, real-world energy data.

Write carbon-aware code and schedule cron jobs using Corrently Regional Green Index in Cursor.

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Connect Corrently Regional Green Index MCP to Cursor

Create your Vinkius account to connect Corrently Regional Green Index 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 Corrently Regional Green Index with Cursor

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Build carbon-aware scripts using Cursor and this MCP Server

The Corrently Regional Green Index MCP Server lets your Cursor agent inject live grid cleanliness forecasts directly into your active codebase. By executing `get_regional_green_index`, the editor pulls real-time carbon index data for your target ZIP codes while you write code. This enables you to build automated scripts that trigger heavy data processing only during green energy peaks. Your agent writes the logic and tests it against actual, live grid forecasts.

Hardcode real energy prices instead of mock data

The Corrently Regional Green Index MCP Server replaces placeholder variables with live market rates during your Cursor coding sessions. Calling `get_energy_market_data` pulls active pricing structures straight into your open editor files. You can instantly generate cost-analysis functions that use actual financial metrics. No more searching for API endpoints or hardcoding stale numbers into your test suites.

Automate local cron testing with Cursor Agent

The Corrently Regional Green Index MCP Server pairs with Cursor Agent mode to test energy-dependent deployment scripts. The `get_regional_green_index` tool provides the forecast data your agent needs to write conditional execution blocks. Your agent reads the forecast, writes the scheduling code, and verifies that your application will run when the grid is cleanest. This keeps your environmental impact low without manual calculations.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "corrently-regional-green-index-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Corrently Regional Green Index MCP in Cursor

Create a .cursor/mcp.json file in your project root or update your global settings. Add the server under the mcpServers key, and Cursor Agent will automatically detect the energy tools.

Yes, Cursor Agent can independently call `get_regional_green_index` to find clean energy windows. It uses these forecasts to write and modify your code based on real-time grid conditions.

You do not need to mock them because the `get_energy_market_data` tool pulls live market rates directly. This ensures your code is built and tested against actual, real-world energy data.

Just tell the Cursor chat or Agent which ZIP code you want to analyze. The agent will automatically format the request and call the `get_regional_green_index` tool for that region.

The MCP server only transmits the ZIP codes you query to fetch regional grid forecasts. No source code or proprietary files from your Cursor workspace are ever sent to the energy index API.

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