How to Use the U.S. EIA Energy Data MCP in Cline

Q: Can I track regional variations with U.S. EIA Energy Data using Cline?

Yes. The listregionalfuelprices tool lets you grab localized fuel price data. You can then write code to compare these regional datasets against national totals in a single script run.

Q: What is the best way to get metadata for U.S. EIA Energy Data with Cline?

Run geteiaapimetadata first. This confirms your connection parameters and provides necessary data structure context before you write any complex code that relies on tools like listnaturalgasproduction.

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Connect U.S. EIA Energy Data MCP to Cline

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Setup U.S. EIA Energy Data with Cline

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Scripting Energy Reports for Cline

Need to build a repeatable script? Use `list_coal_production` to get U.S. coal data, then use `list_electricity_generation` to pull power sales figures into your code. You write the function calls and Cline handles the execution. It's ideal for creating components that need live data. Tell Cline to build a dashboard component; it writes the API import logic using this MCP Server.

Analyze Fuel Prices with Cline

You can programmatically pull U.S. petroleum and gasoline price data via `list_petroleum_prices`. This structured output lets you write unit tests or create database entries directly from the terminal. Run your code against the results of `quick_us_energy_audit` to validate assumptions about current energy health before committing any changes.

Manage Energy Data Types on MCP Server

Start by listing what's available using `list_energy_categories`. This function provides a clear schema of all data types you can code against. You don't have to guess the required parameters for your API calls. Once you know the categories, you can write targeted functions that use tools like `list_renewable_energy_stats`.

Setup guide

Set up U.S. EIA Energy Data 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 us-eia-energy-data-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 U.S. EIA Energy Data 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": {
    "us-eia-energy-data-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 U.S. EIA Energy Data. 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 U.S. EIA Energy Data MCP in Cline

You integrate the MCP Server into your build process, letting it fetch data directly into your code base. For instance, you can use `get_energy_series_data` to pull time-series metrics and immediately write a function that processes them.

Yes. The `list_regional_fuel_prices` tool lets you grab localized fuel price data. You can then write code to compare these regional datasets against national totals in a single script run.

Run `get_eia_api_metadata` first. This confirms your connection parameters and provides necessary data structure context before you write any complex code that relies on tools like `list_natural_gas_production`.

It is. Because it's designed for terminal execution, you can pipe its output directly into a GitHub Action or Docker container. This makes running automated energy checks, like those from `quick_us_energy_audit`, straightforward.

This server handles structured metrics covering coal production, natural gas supply, and petroleum prices. It's built to support scripting against time-series records and current commodity data.

Use it with your favorite AI tools

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

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