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

Q: Can I restrict which EIA Petroleum — Oil Market Intelligence tools are exposed to my Google ADK agent?

Yes, you can use the optional toolnames filter in your McpToolset configuration. This lets you expose only getcrudeproduction if your agent only needs domestic drilling metrics.

Q: Can I combine this with BigQuery data?

Yes, your agent can query live crude prices using getpetroleumprices and join that data with your internal shipping tables in BigQuery. This gives you a real-time view of your transportation costs.

Connect Gemini to live EIA oil market data and run deep inventory analysis alongside BigQuery using Google ADK.

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Connect EIA Petroleum — Oil Market Intelligence MCP to Google ADK

Create your Vinkius account to connect EIA Petroleum — Oil Market 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 Petroleum — Oil Market Intelligence with Google ADK

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Feed SPR and commercial stock levels to Gemini

The `get_petroleum_stocks` tool provides immediate access to both commercial inventories and Strategic Petroleum Reserve levels. Using Google ADK, your Gemini agent pulls these physical volume metrics directly into its million-token context window. This long-context capability lets you compare current SPR drawdowns against historical trends stored in BigQuery. Your agent handles the heavy lifting without losing track of older data points.

Analyze import flows with this MCP Server

The `get_crude_imports` tool retrieves detailed oil import records by country, company, and grade. This MCP Server lets your Google ADK agent cross-reference these imports with global shipping logistics. The agent processes the trade flows to map supply chain dependencies. Because the tool integrates directly with the Gemini ecosystem, you can write the results to Google Cloud storage in one run.

Track refining capacity and utilization rates

The `get_refinery_operations` tool checks processing data, capacity, and active utilization across domestic refineries. Your Google ADK agent uses this data to identify regional bottlenecks before they trigger retail price spikes. If refinery utilization drops unexpectedly, your agent alerts your team via Google Cloud Pub/Sub. This keeps your logistics pipeline ahead of physical product shortages.

Setup guide

Set up EIA Petroleum — Oil Market 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 Petroleum — Oil Market 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 Petroleum — Oil Market Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EIA Petroleum — Oil Market Intelligence tools via MCP.",
    tools=mcp_tools,
)

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Common questions about EIA Petroleum — Oil Market Intelligence MCP in Google ADK

Instantiate McpToolset with the HTTP server parameters pointing to your Vinkius endpoint, then pass it to LlmAgent. Your Gemini model immediately gains access to tools like `get_petroleum_prices`.

Yes, you can use the optional tool_names filter in your McpToolset configuration. This lets you expose only `get_crude_production` if your agent only needs domestic drilling metrics.

The MCP Server feeds structured JSON directly to Gemini's long-context window. Your Google ADK agent can analyze thousands of weekly status reports from `get_petroleum_summary` in a single prompt.

Yes, your agent can query live crude prices using `get_petroleum_prices` and join that data with your internal shipping tables in BigQuery. This gives you a real-time view of your transportation costs.

All oil pricing and refinery utilization queries are routed through our MCP Server sandbox using an ephemeral, zero-trust network interface. Your operational parameters never touch shared storage, keeping your proprietary trading interests confidential.

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