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

Connect Gemini long-context agents to the EIA Full Access MCP Server using Google ADK.

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

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

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Setup EIA Full Access — U.S. Energy Intelligence with Google ADK

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Analyze historical state energy data in Gemini ADK

`get_state_energy_data` retrieves decades of state-level production, consumption, and price statistics dating back to 1960. Your Google ADK agent feeds this massive dataset directly into Gemini's million-token context window for deep historical correlation. Because the framework integrates with Google Cloud, you can pipe these raw outputs into BigQuery for storage. The agent acts as the intelligent bridge, pulling the federal statistics and organizing them by state FIPS codes without manual format conversions.

Monitor natural gas markets using Google ADK tools

`get_natgas_storage` pulls the weekly underground storage figures that drive North American gas trading. Your agent monitors these numbers alongside `get_natgas_prices` to detect supply anomalies relative to the historical five-year average. The tool exposes Henry Hub spot prices and regional citygate rates directly. Your pipeline can trigger automated alerts in Vertex AI when the spread between production and storage levels crosses your defined thresholds.

Track power plant generation across the MCP Server

`get_plant_generation` provides net generation, fuel consumption, and heat rates for individual U.S. power plants. By exposing this to your Google ADK agent, you can audit regional grid assets without leaving your terminal. You can limit the toolset to expose only `get_generator_inventory` if you only need asset metadata. This keeps the agent's focus sharp, avoiding unnecessary API calls when mapping out active generation infrastructure.

Setup guide

Set up EIA Full Access — U.S. Energy Intelligence 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 EIA Full Access — U.S. Energy Intelligence 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="EIA Full Access — U.S. Energy Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EIA Full Access — U.S. Energy Intelligence tools via MCP.",
    tools=mcp_tools,
)

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

You initialize the server as an HTTP toolset within your Python script and pass it to the LlmAgent constructor. The Gemini model automatically reads the tool schemas and decides when to call specific endpoints like `get_refinery_operations` based on your prompt.

Yes, you can write custom agent tasks that pull structured JSON from tools like `get_coal_production` and write them to BigQuery. The agent handles the data extraction from the server and formats the rows to match your database schema.

Yes, you can pass a list of allowed tool names to the server parameters during setup. This restricts the agent to specific endpoints, such as `get_crude_imports`, keeping your context clean and reducing execution costs on this MCP setup.

Vinkius manages the EIA API key on its hosted MCP platform, giving you a single secure endpoint token. Your Google ADK agent uses this token to authenticate, removing the need to store raw federal credentials inside your cloud environment variables.

Your requests for grid demand, gas storage, and coal production metrics are processed in isolated, ephemeral sandboxes. Vinkius does not store the payloads or query histories, ensuring your proprietary trading strategies and market research remain completely confidential.

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