How to Use the Ember Climate MCP in Cursor

Q: Can Cursor Agent help me discover valid energy sources in Ember Climate?

Yes, the agent can call getapioptions to check available series, date ranges, and country codes. This prevents API schema errors when you write queries for specific fuel types like wind or solar.

Q: How do I compare monthly capacity trends using Ember Climate in Cursor?

Ask the Cursor Agent to query getinstalledcapacitymonthly for your target countries. The editor will parse the returned wind and solar capacity metrics and write the corresponding data structures directly into your workspace.

Inject live Ember Climate energy generation and emissions metrics directly into your codebase with Cursor Agent.

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Connect Ember Climate MCP to Cursor

Create your Vinkius account to connect Ember Climate 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 Ember Climate with Cursor

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Build real-world energy dashboards in Cursor

Stop writing mock data or static stubs for your green energy applications. Cursor Agent calls `get_electricity_generation_yearly` to pull real-world production metrics directly into your active code files. The MCP server delivers actual TWh values and percentage shares by fuel source. Cursor uses this live context to generate typed TypeScript interfaces or React charts that reflect real energy grid realities.

Automate carbon accounting models with Cursor

Write and debug carbon tracking algorithms using live inputs from `get_power_sector_emissions_monthly` and `get_power_sector_emissions_yearly`. Your Cursor editor requests these metrics directly as you write your backend logic. This direct integration means your AI pair programmer writes calculations based on actual CO2 emissions data. You avoid integration bugs by testing your functions against real, live-query responses instead of outdated documentation.

Validate energy demand forecasting code

Test your forecasting models against actual historical data using `get_electricity_demand_monthly` and `get_electricity_demand_yearly` in Cursor. The agent injects real demand statistics directly into your test suites. You can write automated tests that check how your application handles seasonal peaks or multi-year demand growth. Cursor runs these checks using real data, ensuring your production code handles real-world grid volatility.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "ember-climate-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ember Climate. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Ember Climate MCP in Cursor

Create a .cursor/mcp.json file in your project root or add the configuration globally. Once added, Cursor Agent can automatically invoke the climate tools during chat or inline editing sessions.

Yes, the agent can call `get_api_options` to check available series, date ranges, and country codes. This prevents API schema errors when you write queries for specific fuel types like wind or solar.

Ask the Cursor Agent to query `get_installed_capacity_monthly` for your target countries. The editor will parse the returned wind and solar capacity metrics and write the corresponding data structures directly into your workspace.

Cursor does not cache the data itself; it queries the live Vinkius-hosted MCP endpoint. You can instruct Cursor to write local caching logic in your code using the live responses it receives.

Your private code files remain local to your Cursor editor. Only the specific parameters required by tools like `get_carbon_intensity_monthly` are sent to the secure V8 sandbox, ensuring your intellectual property is never exposed to public networks.

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