How to Use the EIA Petroleum — Oil Market Intelligence MCP in CrewAI

Q: What is the fastest way to add the EIA Petroleum — Oil Market Intelligence MCP Server to CrewAI?

Install crewaitools. Pass your server URL directly into the mcps array parameter on your Agent definition. The agent will automatically discover and load all eight oil market tools.

Q: Can I restrict which agents access the getpetroleumtrade tool?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter. You can give your trade analyst agent exclusive access to import and export data while keeping it hidden from the rest of the crew.

Deploy a team of autonomous energy analysts. Connect CrewAI to EIA Petroleum data for continuous oil market research and forecasting.

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Connect EIA Petroleum — Oil Market Intelligence MCP to CrewAI

Create your Vinkius account to connect EIA Petroleum — Oil Market Intelligence to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup EIA Petroleum — Oil Market Intelligence with CrewAI

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Equip CrewAI Agents with Live Market Prices

The `get_petroleum_prices` tool gives your pricing analyst agent direct access to WTI, Brent, gasoline, diesel, and heating oil figures. You assign one agent to continuously monitor these benchmarks. It filters by product, area, and frequency to build a precise picture of current energy costs. Because CrewAI agents share memory, the pricing analyst passes its findings to a macroeconomic researcher. The researcher then uses `get_petroleum_summary` to pull the weekly petroleum status report. The crew cross-references the raw price action against the actual supply and demand balance without human intervention.

Analyze Inventories and Refinery Utilization

Assign an infrastructure agent to the `get_refinery_operations` tool. This agent tracks domestic refinery capacity, utilization rates, and processing volumes. It identifies bottlenecks in the downstream supply chain before they hit retail gasoline prices. A separate risk management agent can simultaneously query `get_petroleum_stocks`. It checks commercial inventories and Strategic Petroleum Reserve levels. If the SPR drops or commercial stocks fall below the five-year average, the moderator agent can escalate the findings to a human portfolio manager.

Track Trade Movements and Sector Sales

The `get_crude_imports` tool lets your crew break down incoming crude oil by country of origin, importing company, and specific grade. Your geopolitical agent uses this data to map out import dependencies and physical trade movements. To complete the picture, the crew queries `get_petroleum_consumption`. This provides exact sales figures across different industrial and retail sectors. You build a hierarchical execution chain where agents gather the data, debate the market equilibrium, and output a final strategy document.

Setup guide

Set up EIA Petroleum — Oil Market Intelligence MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke EIA Petroleum — Oil Market Intelligence tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="EIA Petroleum — Oil Market Intelligence Analyst",
    goal="Access and analyze EIA Petroleum — Oil Market Intelligence data via MCP.",
    backstory="Expert analyst with direct EIA Petroleum — Oil Market Intelligence access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent EIA Petroleum — Oil Market Intelligence transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="EIA Petroleum — Oil Market Intelligence Analyst",
        goal="Access and analyze EIA Petroleum — Oil Market Intelligence data via MCP.",
        backstory="Expert analyst with direct EIA Petroleum — Oil Market Intelligence access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent EIA Petroleum — Oil Market Intelligence transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EIA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about EIA Petroleum — Oil Market Intelligence MCP in CrewAI

Install `crewai[tools]`. Pass your server URL directly into the `mcps` array parameter on your Agent definition. The agent will automatically discover and load all eight oil market tools.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. You can give your trade analyst agent exclusive access to import and export data while keeping it hidden from the rest of the crew.

The framework allows agents to break down large tasks. One agent might fetch crude production numbers, store them in shared memory, and instruct a second agent to compare those figures against historical consumption data.

The framework natively supports stdio, SSE, and Streamable HTTP. You just provide the endpoint, and CrewAI manages the connection layer for your autonomous teams.

The integration strictly handles macroeconomic figures like U.S. crude oil production and retail diesel prices. It does not transmit your internal agent prompts or proprietary trading algorithms. The managed environment is ephemeral and tears down the sandbox immediately after the crew finishes its research.

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