Enverus Energy Intelligence MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Enverus Energy Intelligence through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"enverus-energy-intelligence": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Enverus Energy Intelligence Agent",
instructions:
"You help users interact with Enverus Energy Intelligence " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Enverus Energy Intelligence?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Enverus Energy Intelligence MCP Server
Integrate Enverus, the leading energy SaaS company, directly into your AI workflow. Access real-time data on active drilling rigs and oil/gas wells, track new drilling permits and basin-specific activity, monitor M&A transactions in the energy sector, and oversee market intelligence using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Enverus Energy Intelligence tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Asset Oversight — List and retrieve detailed information for active drilling rigs and oil/gas wells across various geological basins.
- Production Intelligence — Monitor well production telemetry, resolving daily BOE/d volumes and identifying gas-to-oil ratios.
- Market Analysis — Access high-level energy market summaries and recent M&A deal data to stay ahead of industry trends.
- Energy Auditing — Retrieve high-level summaries of rig counts, well activity, and organizational energy asset health instantly.
The Enverus Energy Intelligence MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Enverus Energy Intelligence to Mastra AI via MCP
Follow these steps to integrate the Enverus Energy Intelligence MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Enverus Energy Intelligence via MCP
Why Use Mastra AI with the Enverus Energy Intelligence MCP Server
Mastra AI provides unique advantages when paired with Enverus Energy Intelligence through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Enverus Energy Intelligence without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Enverus Energy Intelligence tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Enverus Energy Intelligence + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Enverus Energy Intelligence MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Enverus Energy Intelligence, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Enverus Energy Intelligence as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Enverus Energy Intelligence on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Enverus Energy Intelligence tools alongside other MCP servers
Enverus Energy Intelligence MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Enverus Energy Intelligence to Mastra AI via MCP:
get_energy_market_intelligence_summary
Retrieve a high-level summary of current energy market trends
get_enverus_api_metadata
Retrieve metadata and authorization status for your Enverus API connection
get_rig_technical_details
Get detailed settings and current activity for a specific rig
get_well_production_telemetry
Get historical and current production data for a specific well
list_active_drilling_rigs
List all active drilling rigs currently tracked in the Enverus database
list_basin_specific_activity
List rigs and wells active within a specific geological basin
list_drilling_permits
List recently issued drilling permits
list_energy_m_and_a_deals
List recent mergers, acquisitions, and asset transactions in the energy sector
list_oil_and_gas_wells
List oil and gas wells within the selected criteria
quick_energy_asset_audit
Retrieve a high-level summary of rig and well counts
Example Prompts for Enverus Energy Intelligence in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Enverus Energy Intelligence immediately.
"List active drilling rigs in the Permian basin."
"Show me production stats for well ID '42-123-45678'."
"What are the latest energy M&A deals?"
Troubleshooting Enverus Energy Intelligence MCP Server with Mastra AI
Common issues when connecting Enverus Energy Intelligence to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEnverus Energy Intelligence + Mastra AI FAQ
Common questions about integrating Enverus Energy Intelligence MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Enverus Energy Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Enverus Energy Intelligence to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.