Enverus Energy Intelligence MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Enverus Energy Intelligence through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Enverus Energy Intelligence Assistant",
instructions=(
"You help users interact with Enverus Energy Intelligence. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Enverus Energy Intelligence"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 10 tools from Enverus Energy Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Enverus Energy Intelligence, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Enverus Energy Intelligence MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Enverus Energy Intelligence
Why Use OpenAI Agents SDK with the Enverus Energy Intelligence MCP Server
OpenAI Agents SDK provides unique advantages when paired with Enverus Energy Intelligence through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Enverus Energy Intelligence + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Enverus Energy Intelligence MCP Server delivers measurable value.
Automated workflows: build agents that query Enverus Energy Intelligence, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Enverus Energy Intelligence, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Enverus Energy Intelligence tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Enverus Energy Intelligence to resolve tickets, look up records, and update statuses without human intervention
Enverus Energy Intelligence MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Enverus Energy Intelligence to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Enverus Energy Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Enverus Energy Intelligence + OpenAI Agents SDK FAQ
Common questions about integrating Enverus Energy Intelligence MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Enverus Energy Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.