EIA Petroleum — Oil Market Intelligence MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add EIA Petroleum — Oil Market Intelligence as an MCP tool provider through the 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 EIA Petroleum — Oil Market Intelligence. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in EIA Petroleum — Oil Market 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 EIA Petroleum — Oil Market Intelligence MCP Server
Connect your AI agent to the heart of the global oil market. EIA Petroleum provides authoritative data from the world's most-watched energy agency.
LlamaIndex agents combine EIA Petroleum — Oil Market Intelligence tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the 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
- Crude Oil Prices — WTI Cushing and Brent spot prices, historical and current
- Retail Fuel Prices — Gasoline and diesel at the pump, by region and grade
- U.S. Production — Crude oil production by state and PAD district
- Refinery Operations — Capacity utilization, inputs, and product yields
- Petroleum Trade — Imports/exports by country, pipeline and tanker movements
- Stocks — Commercial crude and product stocks + Strategic Petroleum Reserve (SPR)
- Consumption — Product supplied by type and sector
- Crude Imports — Company-level imports by country, API gravity, sulfur content
The EIA Petroleum — Oil Market Intelligence MCP Server exposes 8 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 EIA Petroleum — Oil Market Intelligence to LlamaIndex via MCP
Follow these steps to integrate the EIA Petroleum — Oil Market 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 8 tools from EIA Petroleum — Oil Market Intelligence
Why Use LlamaIndex with the EIA Petroleum — Oil Market Intelligence MCP Server
LlamaIndex provides unique advantages when paired with EIA Petroleum — Oil Market Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine EIA Petroleum — Oil Market Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain EIA Petroleum — Oil Market Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query EIA Petroleum — Oil Market Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what EIA Petroleum — Oil Market Intelligence tools were called, what data was returned, and how it influenced the final answer
EIA Petroleum — Oil Market Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the EIA Petroleum — Oil Market Intelligence MCP Server delivers measurable value.
Hybrid search: combine EIA Petroleum — Oil Market Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query EIA Petroleum — Oil Market 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 EIA Petroleum — Oil Market Intelligence for fresh data
Analytical workflows: chain EIA Petroleum — Oil Market Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
EIA Petroleum — Oil Market Intelligence MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect EIA Petroleum — Oil Market Intelligence to LlamaIndex via MCP:
get_crude_imports
Source: EIA-814. Get crude oil imports by country, company, type, and grade
get_crude_production
Get U.S. crude oil production and reserves data
get_petroleum_consumption
Get petroleum consumption and sales by product and sector
get_petroleum_prices
Filter by product, area, and frequency. Get petroleum product prices: WTI, Brent, gasoline, diesel, heating oil
get_petroleum_stocks
Get petroleum stocks: commercial + Strategic Petroleum Reserve
get_petroleum_summary
S. petroleum supply/demand balance including production, imports, exports, stocks, and consumption. The weekly petroleum status report data. Get petroleum supply and demand balance
get_petroleum_trade
Get petroleum imports, exports, and movements
get_refinery_operations
Get refinery capacity, utilization, and processing data
Example Prompts for EIA Petroleum — Oil Market Intelligence in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with EIA Petroleum — Oil Market Intelligence immediately.
"What is the current WTI crude oil price?"
"How much crude oil does the U.S. import from Saudi Arabia?"
"What is the current level of the Strategic Petroleum Reserve?"
Troubleshooting EIA Petroleum — Oil Market Intelligence MCP Server with LlamaIndex
Common issues when connecting EIA Petroleum — Oil Market Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEIA Petroleum — Oil Market Intelligence + LlamaIndex FAQ
Common questions about integrating EIA Petroleum — Oil Market 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 EIA Petroleum — Oil Market 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.
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 EIA Petroleum — Oil Market Intelligence to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.