EIA Petroleum — Oil Market Intelligence MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect EIA Petroleum — Oil Market Intelligence through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"eia-petroleum-oil-market-intelligence": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using EIA Petroleum — Oil Market Intelligence, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with EIA Petroleum — Oil Market Intelligence through native MCP adapters. Connect 8 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the EIA Petroleum — Oil Market Intelligence MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from EIA Petroleum — Oil Market Intelligence via MCP
Why Use LangChain with the EIA Petroleum — Oil Market Intelligence MCP Server
LangChain provides unique advantages when paired with EIA Petroleum — Oil Market Intelligence through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine EIA Petroleum — Oil Market Intelligence MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across EIA Petroleum — Oil Market Intelligence queries for multi-turn workflows
EIA Petroleum — Oil Market Intelligence + LangChain Use Cases
Practical scenarios where LangChain combined with the EIA Petroleum — Oil Market Intelligence MCP Server delivers measurable value.
RAG with live data: combine EIA Petroleum — Oil Market Intelligence tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query EIA Petroleum — Oil Market Intelligence, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain EIA Petroleum — Oil Market Intelligence tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every EIA Petroleum — Oil Market Intelligence tool call, measure latency, and optimize your agent's performance
EIA Petroleum — Oil Market Intelligence MCP Tools for LangChain (8)
These 8 tools become available when you connect EIA Petroleum — Oil Market Intelligence to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting EIA Petroleum — Oil Market Intelligence to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersEIA Petroleum — Oil Market Intelligence + LangChain FAQ
Common questions about integrating EIA Petroleum — Oil Market Intelligence MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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.
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 EIA Petroleum — Oil Market Intelligence to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.