How to Use the Ember Climate MCP in Cline

Q: What's the difference between the monthly and yearly tools?

The yearly tools (get...yearly) are for tracking long-term trends, like a country's progress on decarbonization over a decade. The monthly tools (get...monthly) are better for spotting seasonal patterns, like how solar output changes between summer and winter.

Tell Cline to build a live energy dashboard. It won't just fetch data with this MCP server, it'll write the code and stage the commit.

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Connect Ember Climate MCP to Cline

Create your Vinkius account to connect Ember Climate to Cline 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 Cline

Ask AI about this MCP

ChatGPT

Claude

Perplexity

From Prompt to Live Component

Ask Cline to 'build a chart showing Germany's wind capacity growth since 2020.' Your agent doesn't just give you a data table. It uses the `get_installed_capacity_monthly` tool to fetch the numbers, then writes the actual front-end component for you. You'll see a new file appear in your workspace, complete with the data fetching logic and charting code. All you have to do is review the diff. It's a true end-to-end workflow.

Write Tests with Real-World Data

Forget brittle tests that rely on stale, mocked data. Tell Cline to write a test for your app's carbon calculation logic. It can use the Ember Climate MCP server to pull real numbers with `get_carbon_intensity_yearly` for a specific country. Your tests become instantly more meaningful because they run against reality. If Ember's data shows a change, your tests will catch how your code responds. This makes your application much more robust.

Explore the API Without Leaving Your IDE

Not sure which countries are covered? Just ask Cline. It can use the `get_api_options` tool to tell you exactly which `entity_code` or `series` values are valid for a given dataset, right in the chat. This means no more context switching to look at documentation or try queries until one works. Cline acts as an interactive guide to the Ember Climate data, helping you build correct queries from the start.

Setup guide

Set up Ember Climate MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type ember-climate-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Ember Climate refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

Get your connection token →

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 Cline

You give Cline a goal, like 'chart US solar generation.' It uses a tool like `get_electricity_generation_yearly` to get the data from the MCP server, then writes the necessary HTML, CSS, and JavaScript to render that data as a chart in your project.

Absolutely. You can instruct Cline to write a test that pulls live data using one of the tools, like `get_power_sector_emissions_monthly`. This lets you assert that your code behaves correctly with real, and sometimes unexpected, data.

The yearly tools (`get_..._yearly`) are for tracking long-term trends, like a country's progress on decarbonization over a decade. The monthly tools (`get_..._monthly`) are better for spotting seasonal patterns, like how solar output changes between summer and winter.

It gives Cline direct, structured access to a massive dataset. Instead of you finding, cleaning, and feeding data to your agent, Cline can pull exactly what it needs, when it needs it, turning a research task into a simple tool call.

No. The server only processes requests for public energy data, like queries for specific countries or energy sources. Your project code and private data never leave your machine. Vinkius handles the connection with a secure token in a sandboxed environment.

Use it with your favorite AI tools

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

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