How to Use the EIA Full Access — U.S. Energy Intelligence MCP in CrewAI

Q: How do I configure EIA Full Access — U.S. Energy Intelligence in CrewAI?

Install crewaitools. Add the Vinkius endpoint URL directly to the mcps parameter in your agent setup. The agent automatically discovers all 34 tools.

Q: Can I restrict EIA Full Access — U.S. Energy Intelligence tools to specific CrewAI agents?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter. You can give your grid agent access to getgriddemand while restricting it from natural gas endpoints.

Q: Is my autonomous trading strategy secure?

The tools access public metrics like getmineproduction, but the specific parameters your agents request reveal your trading focus. Vinkius runs the execution in an isolated V8 sandbox. The session data vanishes the moment the API returns the coal tonnage, ensuring no one can reverse-engineer your team's strategy.

Deploy specialized agent teams to analyze federal energy markets autonomously with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect EIA Full Access — U.S. Energy Intelligence MCP to CrewAI

Create your Vinkius account to connect EIA Full Access — U.S. Energy 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.

GDPR Free for Subscribers

Setup EIA Full Access — U.S. Energy Intelligence with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Delegate Market Research Tasks

`get_crude_production` and `get_petroleum_summary` feed your primary research agent. CrewAI lets you assign specific EIA tools to individual agents, preventing context window bloat. One agent monitors the weekly petroleum status report. A second agent takes those barrel counts, queries `get_petroleum_trade` for import numbers, and writes a supply balance memo.

Monitor CrewAI MCP Server Integration

`get_plant_generation` and `get_generator_inventory` give your infrastructure agent a complete map of U.S. power assets. The agent stores plant-level fuel consumption in its shared memory. A moderator agent reviews the data. It spots a drop in nuclear output, triggers `get_nuclear_outages` to confirm the reactor status, and escalates the finding to a human operator.

Execute Hierarchical Price Analysis

`get_coal_prices`, `get_natgas_prices`, and `get_electricity_prices` run through a dedicated financial analysis crew. You pass the Vinkius URL directly into the MCP setup of your agent definition. The hierarchical execution ensures operations happen in order. The researcher pulls the spot prices, the analyst compares them against `get_short_term_outlook` projections, and the manager formats the final commodity brief.

Setup guide

Set up EIA Full Access — U.S. Energy 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 Full Access — U.S. Energy Intelligence tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent EIA Full Access — U.S. Energy 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 Full Access — U.S. Energy Intelligence Analyst",
        goal="Access and analyze EIA Full Access — U.S. Energy Intelligence data via MCP.",
        backstory="Expert analyst with direct EIA Full Access — U.S. Energy Intelligence access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent EIA Full Access — U.S. Energy 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect EIA Full Access — U.S. Energy Intelligence now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about EIA Full Access — U.S. Energy Intelligence MCP in CrewAI

Install `crewai[tools]`. Add the Vinkius endpoint URL directly to the `mcps` parameter in your agent setup. The agent automatically discovers all 34 tools.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. You can give your grid agent access to `get_grid_demand` while restricting it from natural gas endpoints.

CrewAI uses shared memory. When the first agent pulls data via `get_state_energy_data`, the exact megawatt and BTU figures become available to the rest of the crew for subsequent tasks.

The Python framework supports stdio, SSE, and Streamable HTTP. Vinkius provides an HTTP endpoint that connects natively as an MCP server.

The tools access public metrics like `get_mine_production`, but the specific parameters your agents request reveal your trading focus. Vinkius runs the execution in an isolated V8 sandbox. The session data vanishes the moment the API returns the coal tonnage, ensuring no one can reverse-engineer your team's strategy.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript