Enverus Energy Intelligence MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Enverus Energy Intelligence as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Enverus Energy Intelligence. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Enverus Energy Intelligence?"
)
print(response)
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.
LlamaIndex agents combine Enverus Energy Intelligence tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Enverus Energy Intelligence MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Enverus Energy Intelligence
Why Use LlamaIndex with the Enverus Energy Intelligence MCP Server
LlamaIndex provides unique advantages when paired with Enverus Energy Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Enverus Energy Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Enverus Energy Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Enverus Energy Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Enverus Energy Intelligence tools were called, what data was returned, and how it influenced the final answer
Enverus Energy Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Enverus Energy Intelligence MCP Server delivers measurable value.
Hybrid search: combine Enverus Energy Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Enverus Energy Intelligence to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Enverus Energy Intelligence for fresh data
Analytical workflows: chain Enverus Energy Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
Enverus Energy Intelligence MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Enverus Energy Intelligence to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Enverus Energy Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEnverus Energy Intelligence + LlamaIndex FAQ
Common questions about integrating Enverus Energy Intelligence MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP 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.
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.