How to Use the U.S. EIA Energy Data MCP in Google ADK

Q: How do I analyze U.S. EIA Energy Data historical trends using the Google ADK?

You call getenergyseriesdata. This function pulls time-series data, which is ideal for loading into BigQuery and running advanced analytical queries on long periods of energy history.

Q: Can I find coal production and natural gas supply data using the Google ADK with U.S. EIA Energy Data?

Absolutely. Use listcoalproduction for output details, and then use listnaturalgasproduction. Your agent can combine these two sources to build a comprehensive picture of fossil fuel input.

Q: Does the Google ADK support checking regional variations with U.S. EIA Energy Data?

Yes, the listregionalfuelprices tool handles this logic. It lets your agent compare fuel costs across different regions, which is essential for multi-state enterprise planning.

Ground your enterprise agents in verifiable U.S. EIA Energy Data using the Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect U.S. EIA Energy Data MCP to Google ADK

Create your Vinkius account to connect U.S. EIA Energy Data to Google ADK 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 U.S. EIA Energy Data with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze US Energy Trends via MCP Server

The `get_energy_series_data` tool lets your agent fetch time-series data for any specific energy metric. Since you're on Google Cloud, this makes it easy to load massive historical datasets directly into BigQuery. Don't get stuck on single points in time. This capability ensures your agents can analyze trends and draw conclusions based on longitudinal data sets.

Compare Fuel Prices Across Regions with Google ADK

You use `list_regional_fuel_prices` to identify fuel price variations across different U.S. regions. This is critical for enterprise agents needing granular, geographically-aware data. It’s much better than assuming national averages hold true; your agent can pinpoint where prices spike or drop relative to other areas.

Assess Full Energy Mix with the MCP Server

Start by listing all available categories using `list_energy_categories`. This gives a structured overview of every data type you can ask for. Then, your agent can combine this knowledge to pull specific lists like `list_renewable_energy_stats` and compare them against traditional sources.

Setup guide

Set up U.S. EIA Energy Data MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with U.S. EIA Energy Data tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="U.S. EIA Energy Data_agent",
    model="gemini-2.0-flash",
    instruction="You have access to U.S. EIA Energy Data tools via MCP.",
    tools=mcp_tools,
)

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 U.S. EIA Energy Data. 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 U.S. EIA Energy Data 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 U.S. EIA Energy Data MCP in Google ADK

You call `get_energy_series_data`. This function pulls time-series data, which is ideal for loading into BigQuery and running advanced analytical queries on long periods of energy history.

Absolutely. Use `list_coal_production` for output details, and then use `list_natural_gas_production`. Your agent can combine these two sources to build a comprehensive picture of fossil fuel input.

Yes, the `list_regional_fuel_prices` tool handles this logic. It lets your agent compare fuel costs across different regions, which is essential for multi-state enterprise planning.

Besides coal and gas, you can get data on electricity sales via `list_electricity_generation` or view renewable stats through `list_renewable_energy_stats`. The MCP Server covers a wide range of sources.

This server handles various energy metrics, including electricity generation figures, natural gas production volumes, and structured lists of fuel prices for both national and regional markets.

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