How to Use the Enverus Energy Intelligence MCP in Mastra AI

Q: Can Mastra AI build a workflow that reacts to new drilling permits from Enverus Energy Intelligence?

Absolutely. You can schedule an agent to run listdrillingpermits daily. If it finds new permits in a target area, it can trigger a sub-workflow to analyze them and alert your team, all automatically.

Q: What's the best way to connect Mastra AI to the Enverus Energy Intelligence MCP server?

Just pass the Vinkius URL to the MCPClient constructor. Mastra handles the transport and tool listing automatically, so you can focus on building your agent's logic instead of wrestling with connections.

Q: Can I check if my Enverus API key is working?

Yes, the getenverusapimetadata tool is perfect for this. You can build it into the start of your workflow as a health check to confirm your credentials and permissions are valid before running queries.

Build resilient energy data workflows with Mastra AI. Automate analysis, reporting, and alerts with conditional logic and automatic retries.

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Connect Enverus Energy Intelligence MCP to Mastra AI

Create your Vinkius account to connect Enverus Energy Intelligence to Mastra AI 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 Mastra AI

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Automate Due Diligence

Create workflows that audit entire geological basins. Your agent can `list_basin_specific_activity`, then for each asset, trigger `get_well_production_telemetry` and `get_rig_technical_details` to assemble a complete picture. Mastra's engine lets you build conditional steps. For example, if `quick_energy_asset_audit` shows more than 10 new permits, your agent can automatically trigger a deeper analysis using `list_drilling_permits` and notify a specific team.

Unattended Market Monitoring

Set up an agent that runs 24/7, watching for market shifts. It can periodically call `list_energy_m_and_a_deals` and, if a new deal matches your criteria, automatically pull asset details and send a summary. Network hiccups or API rate limits won't kill your process. Mastra AI can be configured to automatically retry a failed call to `get_energy_market_intelligence_summary` with exponential backoff. This makes your monitoring far more reliable.

Your Mastra AI MCP Server Setup

Connecting is one line in your Mastra agent configuration. Just add the Vinkius MCP server URL. Mastra's client handles tool discovery, so all 10 Enverus tools like `list_oil_and_gas_wells` become available to your workflows instantly. You can also add a human-in-the-loop approval step before executing a sensitive operation. This is useful for workflows that might incur high API costs, giving you a final say before the agent proceeds.

Setup guide

Set up Enverus Energy Intelligence MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Enverus Energy Intelligence tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "enverus-energy-intelligence-mcp-client",
  servers: {
    "enverus-energy-intelligence-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Enverus Energy Intelligence Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Enverus Energy Intelligence tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Enverus Energy Intelligence transactions"
);
console.log(result.text);

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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 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 Mastra AI

Absolutely. You can schedule an agent to run `list_drilling_permits` daily. If it finds new permits in a target area, it can trigger a sub-workflow to analyze them and alert your team, all automatically.

It has built-in reliability features. If a call to a tool like `get_well_production_telemetry` fails, Mastra can automatically retry it. You can define complex logic, like 'if this fails three times, then send an alert'.

Just pass the Vinkius URL to the `MCPClient` constructor. Mastra handles the transport and tool listing automatically, so you can focus on building your agent's logic instead of wrestling with connections.

Yes, the `get_enverus_api_metadata` tool is perfect for this. You can build it into the start of your workflow as a health check to confirm your credentials and permissions are valid before running queries.

Your agent communicates with the MCP Server over a TLS-encrypted channel. Sensitive data from `list_energy_m_and_a_deals` is processed within a zero-trust, ephemeral environment on Vinkius. The data is never persisted on the server.

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