How to Use the NOAA Space Weather — Solar & Geomagnetic Intelligence MCP in Google ADK

Q: How do I configure NOAA Space Weather — Solar & Geomagnetic Intelligence with Google ADK?

Install google-adk and initialize a McpToolset with your Vinkius URL. Pass that toolset directly to your LlmAgent initialization. You can use the toolnames filter if you only want to expose specific endpoints.

Feed live NOAA solar data into your Gemini models using 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 NOAA Space Weather — Solar & Geomagnetic Intelligence MCP to Google ADK

Create your Vinkius account to connect NOAA Space Weather — Solar & Geomagnetic 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.

GDPR Free for Subscribers

Setup NOAA Space Weather — Solar & Geomagnetic Intelligence with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Correlate Space Weather in BigQuery

`get_solar_wind` streams real-time speed and magnetic field conditions into your Google ADK pipeline. Your Gemini agent takes these readings and writes them directly into BigQuery tables alongside your historical grid failure logs. Because Gemini handles massive context windows, you can ask the agent to analyze months of solar wind data against your internal metrics. It finds the exact correlation between 500 km/s wind speeds and your specific hardware faults.

Predict Regional Outages via MCP Server

`get_dst_index` provides the exact intensity of the Earth's ring current. Your enterprise agent monitors this value for anything dropping below -50 nT, signaling a moderate storm. When the index hits severe levels below -250 nT, the agent cross-references `get_k_index_forecast`. It then generates a Vertex AI alert detailing which specific regional power grids face the highest risk of ground-induced currents.

Map Global Aurora Probabilities

`get_aurora_forecast` pulls the Ovation model data based on live solar wind impacts. Your agent processes this probability map to advise commercial flight routing away from high-radiation polar paths. It validates the current activity level using `get_planetary_k_index` before making a final recommendation. If the Kp sits at 5 or above, the agent automatically suggests rerouting flights to lower latitudes.

Setup guide

Set up NOAA Space Weather — Solar & Geomagnetic 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 NOAA Space Weather — Solar & Geomagnetic 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="NOAA Space Weather — Solar & Geomagnetic Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NOAA Space Weather — Solar & Geomagnetic Intelligence 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 NOAA. 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 NOAA Space Weather — Solar & Geomagnetic Intelligence 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 NOAA Space Weather — Solar & Geomagnetic Intelligence MCP in Google ADK

Install `google-adk` and initialize a `McpToolset` with your Vinkius URL. Pass that toolset directly to your `LlmAgent` initialization. You can use the `tool_names` filter if you only want to expose specific endpoints.

Yes. Gemini's 1M+ token context window lets you feed it weeks of `get_solar_flux` data at once. It compares the 10.7cm radio flux against your historical Vertex AI datasets to find hidden patterns.

The SDK itself fetches fresh data on every tool call. The Vinkius MCP Server caches the NOAA SWPC upstream responses for 5 minutes to prevent rate limiting.

You can pass a specific list of tool names when setting up the `McpToolset`. If you only need `get_planetary_k_index`, you just filter out the rest.

The integration only fetches external Dst index values and aurora forecasts. Your proprietary BigQuery schemas and Vertex AI model weights never leave your Google Cloud project. The server has zero access to your internal architecture.

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