How to Use the NASA DONKI — Space Weather Intelligence MCP in Google ADK

Q: How do I configure NASA DONKI — Space Weather Intelligence with Google ADK?

Install the google-adk package. Initialize an McpToolset using StreamableHttpServerParameters with your endpoint URL. Pass this toolset into your LlmAgent configuration to expose the NASA endpoints.

Q: Can Google ADK filter which MCP Server tools my agent sees?

Yes. You pass a toolnames list to the McpToolset. If you only want your agent checking getgeomagneticstorms, you restrict access to just that specific capability.

Q: What context does the Gemini agent need to predict radio blackouts?

The agent needs active region data and peak times from getsolarflares. Gemini processes these metrics alongside historical blackout records stored in your BigQuery tables.

Feed NASA telemetry into Gemini agents using Google ADK for long-context space weather analysis.

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Connect NASA DONKI — Space Weather Intelligence MCP to Google ADK

Create your Vinkius account to connect NASA DONKI — Space Weather 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 NASA DONKI — Space Weather Intelligence with Google ADK

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Perplexity

Ingest massive CME datasets via MCP Server

The `get_cme` and `get_donki_notifications` tools expose NASA's raw space weather feeds to your Gemini models. You pull 30 days of coronal mass ejection vectors and unified system alerts in a single pass. Gemini's massive context window eats this data whole. Your Google ADK agent reads weeks of solar activity, cross-references it with your internal BigQuery satellite telemetry, and identifies long-term degradation patterns.

Correlate solar flares with grid anomalies

The `get_solar_flares` tool categorizes solar events from common C-class to extreme X-class bursts. These massive electromagnetic events trigger immediate radio blackouts on the sunlit side of Earth. You set up an agent to pull these flare classifications and compare them against `get_interplanetary_shocks`. The agent runs entirely on Google Cloud infrastructure, mapping shockwave propagation directly into your Vertex AI pipelines.

Calculate orbital radiation exposure

The `get_radiation_belt` and `get_solar_energetic_particles` tools track the exact hazards threatening medium Earth orbit hardware. Energized Van Allen belts and SEP events degrade electronics fast. Your agent queries these endpoints to assess flight risks. You pass the `McpToolset` directly to your `LlmAgent`, letting Gemini determine if a recent SEP event requires evasive maneuvers for your orbital assets.

Setup guide

Set up NASA DONKI — Space Weather 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 NASA DONKI — Space Weather 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="NASA DONKI — Space Weather Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NASA DONKI — Space Weather Intelligence tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NASA. 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.

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Common questions about NASA DONKI — Space Weather Intelligence MCP in Google ADK

Install the `google-adk` package. Initialize an `McpToolset` using `StreamableHttpServerParameters` with your endpoint URL. Pass this toolset into your `LlmAgent` configuration to expose the NASA endpoints.

Yes. You pass a `tool_names` list to the `McpToolset`. If you only want your agent checking `get_geomagnetic_storms`, you restrict access to just that specific capability.

It provides early warning for induced currents. Your agent queries `get_geomagnetic_storms` to spot Kp=9 events, giving operators time to adjust grid loads before the plasma hits.

The agent needs active region data and peak times from `get_solar_flares`. Gemini processes these metrics alongside historical blackout records stored in your BigQuery tables.

Yes. The server only fetches external solar parameters like X-class flare timings and SEP event details. Your Google Cloud data remains isolated within your VPC and never touches external networks.

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