How to Use the NASA Full — Ultimate Space Intelligence MCP in Google ADK

Q: Can NASA Full — Ultimate Space Intelligence and Google ADK pull raw Mars photos?

The server gives you the exact image URLs. Use getmarsphotos to filter by camera type and Earth date. The agent receives the metadata and the direct link to the Curiosity or Perseverance assets.

Q: How do I restrict which tools this MCP Server exposes in Google ADK?

The McpToolset accepts a toolnames filter. You can restrict the agent to just getapod and searchmedia if you only want an imagery bot.

Q: What happens to my data when checking planetary defense metrics?

Queries to getcloseapproaches execute inside an ephemeral V8 isolate. Vinkius drops the connection immediately after returning the asteroid velocity and miss distance. Nothing gets logged.

Feed 32 NASA data streams into your Google ADK enterprise agents.

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Connect NASA Full — Ultimate Space Intelligence MCP to Google ADK

Create your Vinkius account to connect NASA Full — Ultimate Space 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 Full — Ultimate Space Intelligence with Google ADK

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Feed 10 official NASA APIs into your Google ADK agents

The `get_neo_feed` and `get_cme` tools expose near-Earth asteroid tracking and coronal mass ejections directly to your Gemini models. Your AI client reads the raw JSON from DONKI and NeoWs, pushing the event coordinates and velocities into its massive context window. You skip the boilerplate and start analyzing space weather immediately. Long-context reasoning changes how you process this data. An agent can ingest a month of `get_donki_notifications` and correlate those shocks with `get_geomagnetic_storms`. It spots patterns across thousands of data points without dropping a single detail.

Cross-reference Earth events with orbital imagery via MCP Server

The `get_epic_images` tool provides full-disk Earth photos from the DSCOVR satellite 5 million kilometers away. Combine that with `get_natural_events` to track wildfires and sea ice changes. The agent pulls the coordinates and the corresponding imagery dates in one sequence. Enterprise users usually pipe this straight into BigQuery. You can run `get_fireballs` to fetch bolide energy yields globally, then structure that output for your internal databases. The MCP protocol handles the transport layer while Google ADK manages the workflow.

Analyze 5,700 confirmed exoplanets

The `query_confirmed_planets` tool filters deep space discoveries by facility, method, and year. Your agent retrieves planetary mass, radius, and equilibrium temperatures from the Exoplanet Archive. It executes the complex TAP queries behind the scenes. You can narrow the search using `get_habitable_zone` to find planets capable of supporting liquid water. The server returns structured numbers, letting your Vertex AI pipeline calculate statistics or generate research summaries based on concrete astronomical facts.

Setup guide

Set up NASA Full — Ultimate Space 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 Full — Ultimate Space 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 Full — Ultimate Space Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NASA Full — Ultimate Space 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 Full — Ultimate Space Intelligence MCP in Google ADK

Install the google-adk package. Initialize an McpToolset with StreamableHttpServerParameters and your endpoint URL. Pass it to the LlmAgent tools array.

Yes. Gemini easily holds the schemas for all 32 MCP Server endpoints. You can dump the entire output of get_mars_manifest into the context window and let the model find specific sol dates.

The server gives you the exact image URLs. Use get_mars_photos to filter by camera type and Earth date. The agent receives the metadata and the direct link to the Curiosity or Perseverance assets.

The McpToolset accepts a tool_names filter. You can restrict the agent to just get_apod and search_media if you only want an imagery bot.

Queries to get_close_approaches execute inside an ephemeral V8 isolate. Vinkius drops the connection immediately after returning the asteroid velocity and miss distance. Nothing gets logged.

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