How to Use the Enverus Energy Intelligence MCP in Cursor

Inject raw rig counts and well production telemetry straight into your code with Cursor. Build energy data models faster.

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Connect Enverus Energy Intelligence MCP to Cursor

Create your Vinkius account to connect Enverus Energy Intelligence to Cursor 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 Enverus Energy Intelligence with Cursor

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Claude

Perplexity

Build models with live well telemetry

Writing integration code for energy data usually means mocking up fake JSON responses. Cursor changes that entirely. In Agent mode, your editor calls `get_well_production_telemetry` and writes your parsing logic based on the actual historical production data returning from the API. You stop guessing about schema structures. When you need a quick baseline for a new Python script, the AI runs `quick_energy_asset_audit` to grab high-level well counts. It then writes the exact data classes you need to handle the real response.

Query basins via Enverus Energy Intelligence MCP

Regional analysis requires accurate fleet tracking. If you are building a dashboard for Permian activity, Cursor can pull the exact active fleet using `list_active_drilling_rigs`. It injects the live array of rigs right into your workspace. You can drill down further without leaving the editor. Instruct your agent to run `list_basin_specific_activity` followed by `get_rig_technical_details`. You get the geological context and the specific hardware specs needed to write accurate filtering logic.

Automate permit and M&A tracking

Tracking acreage changes means watching the paperwork. Your AI client can execute `list_drilling_permits` to pull the latest filings directly into your data pipeline code. It writes the exact database insertion scripts based on the live permit fields. The same applies to corporate transactions. Cursor triggers `list_energy_m_and_a_deals` and `get_energy_market_intelligence_summary` to fetch recent acquisitions. You build automated reporting scripts using actual deal parameters, not theoretical examples.

Setup guide

Set up Enverus Energy Intelligence MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Enverus Energy Intelligence MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Enverus Energy Intelligence transactions." If the MCP tools are loaded correctly, Cursor will call the Enverus Energy Intelligence tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "enverus-energy-intelligence-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 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 Cursor

Create an mcp.json file in your project root directory. Paste the server configuration under the mcpServers key. Toggle Agent mode on in the chat panel to activate the tools.

The editor can pull exact specifications while you code. It uses `get_rig_technical_details` to fetch the operational settings for a specific rig and formats the output into your preferred programming language.

Context switching kills momentum. By running this MCP Server in your editor, you write data extraction scripts against real API responses instead of relying on outdated documentation.

You can verify your connection before writing any code. Ask the Agent to run `get_enverus_api_metadata` to confirm your authorization status and review the available endpoints.

Your corporate acquisition queries and asset transfer logs never train external models. Vinkius routes `list_energy_m_and_a_deals` traffic through an ephemeral, zero-trust connection. The data passes directly to your local editor and leaves no trace on our infrastructure.

Use it with your favorite AI tools

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

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