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How to Use the NASA Open Data MCP in Google ADK

Feed live space telemetry into Google ADK agents with massive context windows.

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Google ADK

Connect NASA Open Data MCP to Google ADK

Create your Vinkius account to connect NASA Open 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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Process Earth Imagery via MCP Server

The `get_earth_polychromatic_images` tool feeds raw EPIC camera data straight into your Google ADK agent. You pass the image arrays into the massive context window alongside your internal BigQuery datasets. The agent cross-references cloud cover and atmospheric data without dropping tokens. You point the StreamableHttpServerParameters at your endpoint, and the agent immediately knows how to fetch the latest Earth imagery. It takes one line of code using `McpToolset`.

Scale Mission Logs on Vertex AI

The `get_astronomy_picture` and `get_mars_rover_manifest` tools provide daily space visuals and mission logs for your enterprise applications. If you run a data pipeline on Google Cloud, the agent pulls the APOD metadata and writes it directly to your storage buckets. It reads the rover manifest to verify mission dates before querying any photos. This MCP Server scales with your cloud infrastructure. You define the specific endpoints using the `tool_names` filter, restricting the agent to only the exact NASA data your application requires.

Fetch Precise Orbital Mechanics

The `lookup_asteroid` tool fetches precise orbital mechanics for specific Near Earth Objects. Your LlmAgent requests the asteroid ID, and the API returns the absolute magnitude, estimated diameter, and close approach data. The model processes these JSON payloads natively. The asteroid lookup runs over HTTP and Stdio transports. You just drop the toolset into the constructor and let the agent handle the outbound orbital requests.

Setup guide

Set up NASA Open 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. 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 Open 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="NASA Open Data_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NASA Open Data 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 Open Data MCP in Google ADK

Install `google-adk` and initialize a `McpToolset` using `StreamableHttpServerParameters`. Pass that toolset into your `LlmAgent` constructor under the `tools` argument.
Yes. Use the `tool_names` parameter when initializing the MCP toolset. This restricts the agent to specific endpoints like the asteroid lookup, hiding the rest of the available catalog.
Your agent handles the connection between the two systems. It pulls the JSON payload from the space weather endpoints and formats it for immediate insertion into your BigQuery tables.
The framework supports both Stdio for local processes and HTTP for remote connections. You configure the transport type in the server parameters during initialization.
The integration only requests absolute magnitude and close approach metrics from the public API. Your cloud prompts and enterprise configurations remain completely isolated from the outbound NASA request.

Start using the NASA Open Data MCP today

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