How to Use the NASA Open Data MCP in Google ADK
Feed live space telemetry into Google ADK agents with massive context windows.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up NASA Open Data MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Open Data tools in your ADK agent.
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
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