Enverus Energy Intelligence MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Enverus Energy Intelligence as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="enverus_energy_intelligence_agent",
tools=tools,
system_message=(
"You help users with Enverus Energy Intelligence. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Enverus Energy Intelligence tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Enverus Energy Intelligence MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Enverus Energy Intelligence automatically
Why Use AutoGen with the Enverus Energy Intelligence MCP Server
AutoGen provides unique advantages when paired with Enverus Energy Intelligence through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Enverus Energy Intelligence tools to solve complex tasks
Role-based architecture lets you assign Enverus Energy Intelligence tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Enverus Energy Intelligence tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Enverus Energy Intelligence tool responses in an isolated environment
Enverus Energy Intelligence + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Enverus Energy Intelligence MCP Server delivers measurable value.
Collaborative analysis: one agent queries Enverus Energy Intelligence while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Enverus Energy Intelligence, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Enverus Energy Intelligence data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Enverus Energy Intelligence responses in a sandboxed execution environment
Enverus Energy Intelligence MCP Tools for AutoGen (10)
These 10 tools become available when you connect Enverus Energy Intelligence to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Enverus Energy Intelligence to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Enverus Energy Intelligence + AutoGen FAQ
Common questions about integrating Enverus Energy Intelligence MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
