How to Use the EIA Petroleum — Oil Market Intelligence MCP in VS Code Copilot
Equip your entire VS Code Copilot team with live EIA petroleum and refinery metrics.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EIA Petroleum — Oil Market Intelligence MCP to VS Code Copilot
Create your Vinkius account to connect EIA Petroleum — Oil Market Intelligence to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Standardize energy data access via MCP Server
Engineering teams building commodities software need consistent data access. You drop this MCP Server configuration into your repository's `.vscode/mcp.json` file. Suddenly, every developer using Copilot can query `get_petroleum_prices` directly from their chat panel. Nobody wastes time hunting for the right endpoints anymore. A junior dev asks Copilot how to format a supply report. The agent runs `get_petroleum_summary` and generates the exact code needed to parse the weekly petroleum status report. The entire team works from the same live reality.
Map complex crude imports and production
Dealing with government data schemas is notoriously painful. Your VS Code agent handles the heavy lifting by calling `get_crude_imports`. It checks the exact fields for company, type, and grade, then writes the data validation logic for your application. It handles domestic figures with the same precision. Copilot uses `get_crude_production` to verify U.S. reserve formats. When you need to calculate trade balances, the agent calls `get_petroleum_trade` and writes the SQL queries to match the incoming export movements.
Track physical inventory and refinery capacity
Building downstream monitoring tools requires understanding physical constraints. You ask Copilot to model processing volumes. The agent fires `get_refinery_operations` to read the live utilization capacity, injecting the correct data types straight into your Python script. Monitoring storage is just as direct. Your AI client pulls `get_petroleum_stocks` to check the split between commercial inventories and the Strategic Petroleum Reserve. It writes the exact API polling mechanism your production app needs to stay updated.
Set up EIA Petroleum — Oil Market Intelligence MCP in VS Code Copilot
Prerequisites
- VS Code 1.99 or later with GitHub Copilot extension
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Open the Command Palette (
Cmd+Shift+P/Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create.vscode/mcp.jsonin your workspace. - 2
Add the EIA Petroleum — Oil Market Intelligence MCP
Paste the JSON snippet shown on the right into your
.vscode/mcp.json. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Switch to Agent mode
Open Copilot Chat (
Cmd+Shift+I/Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes. - 4
Verify the connection
In the Copilot Chat input, type
#to list available tools. You should see the EIA Petroleum — Oil Market Intelligence tools listed. Try asking: "List my recent EIA Petroleum — Oil Market Intelligence transactions" and Copilot will invoke them automatically.
{
"mcpServers": {
"eia-petroleum-oil-market-intelligence-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EIA. 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 EIA Petroleum — Oil Market Intelligence MCP in VS Code Copilot
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