How to Use the Enverus Energy Intelligence MCP in VS Code Copilot
Equip your engineering team with live drilling permits and rig telemetry directly inside VS Code Copilot.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Enverus Energy Intelligence MCP to VS Code Copilot
Create your Vinkius account to connect Enverus Energy 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.
Deploy Enverus Energy Intelligence MCP Server
Energy data silos slow down entire engineering departments. You can standardize how your team accesses this data by committing a single configuration file. Drop the server details into your repository, and every developer instantly gets access to `list_oil_and_gas_wells`. Copilot uses this shared context to keep everyone on the same page. When a junior developer needs to write a query for recent activity, the AI agent runs `list_drilling_permits` and generates the exact SQL or Python code required. No one wastes time hunting for API keys.
Code against real production telemetry
Building analytical models requires actual flow rates. Copilot can execute `get_well_production_telemetry` to pull historical production data straight into your IDE. You write your statistical models using the exact data structures they will process in production. You can verify the broader context instantly. Ask Copilot to run `quick_energy_asset_audit` to grab high-level well counts for the asset you are modeling. The telemetry doesn't lie, and now it lives directly in your workspace.
Integrate market intelligence and M&A
Market trends dictate drilling schedules. Your team can build automated reporting tools faster when Copilot pulls live data via `get_energy_market_intelligence_summary`. The AI writes the parsing logic based on current market trends. Combine that with transaction data. Copilot runs `list_energy_m_and_a_deals` to fetch recent acquisitions. It formats the deal parameters into your specific data warehouse schema, eliminating the manual mapping process entirely.
Set up Enverus Energy 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 Enverus Energy 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 Enverus Energy Intelligence tools listed. Try asking: "List my recent Enverus Energy Intelligence transactions" and Copilot will invoke them automatically.
{
"mcpServers": {
"enverus-energy-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 Enverus Energy Intelligence. 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 Enverus Energy Intelligence MCP in VS Code Copilot
Use it with your favorite AI tools
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