How do I get an Enverus API Key?

You need an active Enverus subscription. Log in to your [**Enverus Developer Portal**](https://developer.enverus.com), navigate to your account settings, and you can generate or retrieve your unique **API Key** from there.

Does the integration cover global basins?

Yes, Enverus tracks asset activity globally. Availability of specific data for basins like Permian, Bakken, or international fields depends on your subscription level and API permissions.

Is production data real-time?

Production data is updated as frequently as reported by operators and regulatory agencies. You can retrieve the latest available telemetry using the get_well_production_telemetry tool.

Enverus Energy Intelligence MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Enverus Energy Intelligence
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Enverus Energy Intelligence as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="enverus_energy_intelligence_agent",
    instruction=(
        "You help users interact with Enverus Energy Intelligence "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Enverus Energy Intelligence as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Enverus Energy Intelligence MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Enverus Energy Intelligence via MCP

Why Use Google ADK with the Enverus Energy Intelligence MCP Server

Google ADK provides unique advantages when paired with Enverus Energy Intelligence through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Enverus Energy Intelligence

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Enverus Energy Intelligence tools with BigQuery, Vertex AI, and Cloud Functions

Enverus Energy Intelligence + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Enverus Energy Intelligence MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Enverus Energy Intelligence and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Enverus Energy Intelligence tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Enverus Energy Intelligence regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Enverus Energy Intelligence

Enverus Energy Intelligence MCP Tools for Google ADK (10)

These 10 tools become available when you connect Enverus Energy Intelligence to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Enverus Energy Intelligence to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Enverus Energy Intelligence + Google ADK FAQ

Common questions about integrating Enverus Energy Intelligence MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.