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How to Use the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP in Google ADK

Feed real-time planetary defense data from NASA Asteroids — Near-Earth Objects & Planetary Defense directly into your Google ADK pipelines.

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Google ADK

Connect NASA Asteroids — Near-Earth Objects & Planetary Defense MCP to Google ADK

Create your Vinkius account to connect NASA Asteroids — Near-Earth Objects & Planetary Defense 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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Analyze Global Bolide Events with Google ADK

The `get_fireballs` tool feeds raw atmospheric impact data directly into your Google ADK enterprise pipelines. This Google ADK integration allows you to run complex spatial queries on NASA fireball kinetic energy without leaving your cloud environment.

Ingest Asteroid Feeds into Gemini Long Context

The `get_neo_feed` tool pulls daily lists of approaching space rocks for your Google ADK agent to process. Storing these structured NASA orbital outputs in your Google Cloud databases becomes incredibly simple once the Google ADK framework processes them.

Verify Trajectories Using Google ADK with MCP Server

The `get_neo_lookup` tool allows your Google ADK agent to fetch detailed orbital parameters for specific SPK-IDs. By configuring the MCP Server with a standard HTTP transport, your Google ADK enterprise agents query NASA's database securely.

Setup guide

Set up NASA Asteroids — Near-Earth Objects & Planetary Defense 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Asteroids — Near-Earth Objects & Planetary Defense 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 Asteroids — Near-Earth Objects & Planetary Defense_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NASA Asteroids — Near-Earth Objects & Planetary Defense tools via MCP.",
    tools=mcp_tools,
)

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 Asteroids — Near-Earth Objects & Planetary Defense MCP in Google ADK

You install the package via `pip install google-adk` and define an `McpToolset` pointing to your Vinkius HTTP URL to start tracking space rocks. Pass this toolset object directly to your Google ADK `LlmAgent` constructor. This setup instantly exposes all five asteroid monitoring tools to your Gemini model.
Yes, you can write a custom Google ADK agent function that takes the output of `get_close_approaches` and writes it to a BigQuery table. Google ADK natively bridges the gap between the NASA asteroid tracking tools and your Google Cloud storage assets.
It handles them easily by ingestion of large pages from `get_neo_browse` directly into the Google ADK agent's prompt. Since Google ADK supports deep reasoning models, your Gemini agent can analyze hundreds of asteroid trajectories simultaneously without losing track of minor orbital variations.
Yes, the Google ADK framework provides an optional tool name filter when you instantiate your asteroid toolset. This allows you to expose only `get_close_approaches` while hiding the historical fireball database from standard Google ADK agent queries.
All data transactions, including asteroid trajectory lookups and fireball impact coordinates, run inside Vinkius's secure, isolated V8 sandbox. Google ADK communicates over encrypted HTTPS channels, ensuring your planetary defense queries remain completely private and isolated from public eyes.

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