How often is petroleum data updated?

Prices are updated daily. The Weekly Petroleum Status Report publishes every Wednesday at 10:30 AM ET — one of the most market-moving energy data releases in the world. Monthly and annual data follow EIA survey schedules.

EIA Petroleum — Oil Market Intelligence MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: EIA Petroleum — Oil Market Intelligence
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to EIA Petroleum — Oil Market Intelligence through the Vinkius — pass the Edge URL in the `mcps` parameter and every EIA Petroleum — Oil Market Intelligence tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="EIA Petroleum — Oil Market Intelligence Specialist",
    goal="Help users interact with EIA Petroleum — Oil Market Intelligence effectively",
    backstory=(
        "You are an expert at leveraging EIA Petroleum — Oil Market Intelligence tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in EIA Petroleum — Oil Market Intelligence "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, EIA Petroleum — Oil Market Intelligence becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call EIA Petroleum — Oil Market Intelligence tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the EIA Petroleum — Oil Market Intelligence MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 8 tools from EIA Petroleum — Oil Market Intelligence

Why Use CrewAI with the EIA Petroleum — Oil Market Intelligence MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with EIA Petroleum — Oil Market Intelligence through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

EIA Petroleum — Oil Market Intelligence + CrewAI Use Cases

Practical scenarios where CrewAI combined with the EIA Petroleum — Oil Market Intelligence MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries EIA Petroleum — Oil Market Intelligence for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries EIA Petroleum — Oil Market Intelligence, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain EIA Petroleum — Oil Market Intelligence tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries EIA Petroleum — Oil Market Intelligence against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

EIA Petroleum — Oil Market Intelligence MCP Tools for CrewAI (8)

These 8 tools become available when you connect EIA Petroleum — Oil Market Intelligence to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting EIA Petroleum — Oil Market Intelligence to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

EIA Petroleum — Oil Market Intelligence + CrewAI FAQ

Common questions about integrating EIA Petroleum — Oil Market Intelligence MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.