How to Use the NREL Energy Data MCP in Google ADK

Q: How does Google ADK interact with NREL Energy Data?

You define an McpToolset pointing to the server URL. Once passed to your LlmAgent, the agent can trigger any of the ten tools as needed.

Use NREL Energy Data with Google ADK to power enterprise agents on Google Cloud infrastructure.

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Connect NREL Energy Data MCP to Google ADK

Create your Vinkius account to connect NREL 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.

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Setup NREL Energy Data with Google ADK

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Direct integration for Google ADK

Use `McpToolset` to register the server with your LlmAgent. It maps NREL data directly into your agent's tool availability for immediate use in Google Cloud environments. This setup allows your agent to fetch fuel station counts or solar data without writing custom API wrappers. You maintain control over which tools remain exposed.

Enterprise fuel station lookup

Your agent uses `list_alt_fuel_stations` to map out regional refueling coverage. It handles the data retrieval so your agent can focus on routing or fleet planning. Everything happens via standard tool calls. Your agent receives the response, parses the station details, and continues its task flow.

Geothermal and solar assessment

Access `get_geothermal_resource` and `get_solar_data_query` to incorporate environmental factors into your agent's reasoning. It pulls these metrics to validate proposed project sites. This provides a clear data trail for your enterprise reports. Your agent justifies its conclusions using the specific resources returned by these functions.

Setup guide

Set up NREL 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 NREL 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="NREL Energy Data_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NREL Energy Data tools via MCP.",
    tools=mcp_tools,
)

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Common questions about NREL Energy Data MCP in Google ADK

You define an `McpToolset` pointing to the server URL. Once passed to your `LlmAgent`, the agent can trigger any of the ten tools as needed.

Yes. The toolset allows you to pass a filter list. You can restrict the agent to only use `get_utility_rates` or other specific tools for security.

It does. You can feed large sets of station data into the agent's context window. The agent then analyzes the entire dataset to spot regional trends.

The server responds quickly to standard HTTP requests. Your agent's performance depends on how many tools you trigger in a single chain.

Access is restricted by your endpoint token. All traffic is ephemeral, and the server does not retain logs of the fuel or utility data you query.

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