How to Use the EIA Coal & Mining — Solid Fuels Intelligence MCP in Google ADK

Q: How do I optimize Gemini token usage with EIA Coal & Mining — Solid Fuels Intelligence?

Use the toolnames filter in your Google ADK setup to load only the functions you need. This keeps your agent's context window clean and focused on specific coal intelligence tasks.

Bring EIA Coal & Mining — Solid Fuels Intelligence into Google ADK for enterprise agents on Google Cloud.

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Connect EIA Coal & Mining — Solid Fuels Intelligence MCP to Google ADK

Create your Vinkius account to connect EIA Coal & Mining — Solid Fuels 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 Coal & Mining — Solid Fuels Intelligence with Google ADK

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Enterprise-Scale Coal Analytics for Google ADK

Connect your Google ADK agent to `get_coal_prices` and `get_coal_production` to feed live energy metrics into your BigQuery data warehouse. It allows your agent to perform long-context reasoning over years of historical fuel data. This setup works within the Gemini ecosystem, enabling your agent to analyze vast datasets held in your cloud environment. You get a direct pipeline from industry metrics to your internal analysis tools.

Precise Mine and Quality Monitoring

Expose `get_mine_production` and `get_coal_quality` to your agent to monitor specific asset performance. Your agent can evaluate the heat content and ash profiles of coal from different regions to ensure they meet your operational standards. Google ADK allows you to filter which tools are available to specific agents. This restricts access to only the necessary coal metrics, maintaining a tight operational scope for your agents.

Strategic Reserve and Trade Oversight

Utilize `get_coal_reserves` and `get_coal_trade` to give your agent a view of global and domestic supply stability. Your agent uses these tools to compare import/export trends against current reserve capacity. Because this MCP Server runs on Vinkius, your Google ADK agent interacts with it using standard HTTP or Stdio. It ensures your infrastructure remains lightweight while your agent processes complex energy supply chain questions.

Setup guide

Set up EIA Coal & Mining — Solid Fuels 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 Coal & Mining — Solid Fuels 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 Coal & Mining — Solid Fuels Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EIA Coal & Mining — Solid Fuels Intelligence tools via MCP.",
    tools=mcp_tools,
)

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Common questions about EIA Coal & Mining — Solid Fuels Intelligence MCP in Google ADK

Yes, you include the McpToolset in your LlmAgent configuration. All six tools are registered and available for your agent to use immediately.

Use the tool_names filter in your Google ADK setup to load only the functions you need. This keeps your agent's context window clean and focused on specific coal intelligence tasks.

Your agent can fetch data via the server and then write it to BigQuery using standard Google ADK output patterns. The server acts as a reliable source of truth for your agent to query before it updates your cloud tables.

Vinkius hosts the server, so you connect via a remote endpoint. This ensures your Google ADK agent always hits the latest, managed version without you needing to maintain the infrastructure yourself.

Your agent's interaction with this MCP Server is isolated within the Vinkius V8 Sandbox. The server only sees your specific requests for coal metrics and handles them through a secure, per-user token without retaining any of your proprietary query history.

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