How to Use the EIA Petroleum — Oil Market Intelligence MCP in Cline

Q: Can Cline use EIA Petroleum — Oil Market Intelligence to build a custom database of WTI prices?

Yes. Cline can call getpetroleumprices to fetch historical benchmarks and write a Python script to store those values in a SQLite database.

Q: Does EIA Petroleum — Oil Market Intelligence let Cline write code to analyze refinery runs?

Yes, Cline can query getrefineryoperations to get capacity rates and combine that with getpetroleumconsumption to calculate regional supply constraints.

Q: What files does Cline modify when I install this MCP Server?

It only updates your local clinemcpsettings.json file. It does not touch your project files unless you explicitly instruct it to write code using the oil market tools.

Let Cline write code, build dashboards, and pull live oil market data directly into your local VS Code workspace.

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Connect EIA Petroleum — Oil Market Intelligence MCP to Cline

Create your Vinkius account to connect EIA Petroleum — Oil Market Intelligence 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 EIA Petroleum — Oil Market Intelligence with Cline

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Let Cline build live oil market dashboards

Give Cline a task to build a React dashboard tracking WTI and Brent, and it will use this MCP Server to pull live pricing data via `get_petroleum_prices`. Your agent writes the code, handles the API state, and populates the charts with real EIA numbers. It uses `get_petroleum_stocks` to add inventory charts to your application. You can watch Cline write the test files and run them to verify the UI displays the correct SPR levels.

Track global trade flows with this MCP Server

When you need to analyze import dependencies, Cline calls `get_crude_imports` to fetch detailed volumes by country and company. The agent writes scripts to parse this JSON payload and saves the clean data to your local database. It joins these import figures with domestic output metrics retrieved via `get_crude_production`. Cline does the heavy work of writing SQL schemas and seeding the database with real-world energy stats.

Code automated refinery alerts in Cline

Instruct Cline to build an alerting system for refinery shutdowns. Your agent writes a Node.js script that queries `get_refinery_operations` to monitor capacity and flags any sudden drops. It integrates these alerts with trade balance data from `get_petroleum_trade` to predict localized supply squeezes. Cline tests the logic locally, showing you the exact git diff before committing.

Setup guide

Set up EIA Petroleum — Oil Market Intelligence 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 eia-petroleum-oil-market-intelligence-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 EIA Petroleum — Oil Market Intelligence 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": {
    "eia-petroleum-oil-market-intelligence-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about EIA Petroleum — Oil Market Intelligence MCP in Cline

Yes. Cline can call `get_petroleum_prices` to fetch historical benchmarks and write a Python script to store those values in a SQLite database.

Open the Cline sidebar, click the MCP icon, and add the server under the `mcpServers` key in your `cline_mcp_settings.json` file.

Yes, Cline can query `get_refinery_operations` to get capacity rates and combine that with `get_petroleum_consumption` to calculate regional supply constraints.

It only updates your local `cline_mcp_settings.json` file. It does not touch your project files unless you explicitly instruct it to write code using the oil market tools.

Your API credentials are held securely in your local Cline configuration. The actual oil inventory and pricing data retrieved from the server never leave your local machine, keeping your market research confidential.

Use it with your favorite AI tools

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

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