How to Use the NASA Exoplanets — Worlds Beyond Our Solar System MCP in Google ADK

Q: How can I use Google ADK and NASA Exoplanets — Worlds Beyond Our Solar System to load data into BigQuery?

Your agent can call tools like queryconfirmedplanets and then use the Google Cloud client libraries to write the results directly to a BigQuery table. The ADK is designed to work inside the GCP ecosystem, so these integrations are straightforward.

Q: What's the setup for the NASA Exoplanets — Worlds Beyond Our Solar System server with Google ADK?

You'll instantiate the McpToolset from the Google ADK with your Vinkius endpoint URL. Then you pass that toolset to your LlmAgent constructor. The agent will then have access to all the NASA exoplanet tools.

Q: Can I filter which tools my Google ADK agent sees from the NASA Exoplanets — Worlds Beyond Our Solar System server?

Yes. The McpToolset constructor in the Google ADK has a toolnames parameter. You can use it to expose only specific tools, like gethabitablezone, to your agent if you need to restrict its capabilities.

Connect Google Cloud agents to NASA's exoplanet database with the Google ADK and start analyzing.

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Connect NASA Exoplanets — Worlds Beyond Our Solar System MCP to Google ADK

Create your Vinkius account to connect NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System with Google ADK

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Query Exoplanets at Scale

The `query_confirmed_planets` tool lets your agent search the entire NASA Exoplanet Archive. You can filter by dozens of parameters to get exactly the data you need. Here's the thing. With the Google ADK, your Gemini-powered agent can pull a massive dataset—say, all planets discovered via 'Radial Velocity'—and stream the results directly into a BigQuery table. You're not just asking questions; you're building an enterprise-grade data warehouse in your own GCP project.

Long-Context Reasoning on your MCP Server

This MCP server gives you focused tools like `get_habitable_zone` and `get_transit_planets`. They're powerful on their own, but the Google ADK changes the game. Because Gemini models have such a large context window, your agent can pull both the habitable zone candidates and the full list of transit planets, hold it all in memory, and reason across the combined dataset. It can find correlations that would be impossible to spot with one-off queries, like identifying habitable zone candidates that were missed by primary transit surveys.

Build a Cloud-Native Data Pipeline

Your agent can use the `get_planet_stats` tool to get a high-level summary of exoplanet discoveries. It’s a simple but powerful starting point for a bigger workflow. Within the Google Cloud ecosystem, this summary isn't just text. It can be the trigger for a Vertex AI pipeline. Your agent gets the stats, and that kicks off a process to retrain a model, generate a new report, or alert your team. This server becomes a live data source for your entire cloud operation.

Setup guide

Set up NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NASA Exoplanets — Worlds Beyond Our Solar System 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 Exoplanets — Worlds Beyond Our Solar System MCP in Google ADK

Your agent can call tools like `query_confirmed_planets` and then use the Google Cloud client libraries to write the results directly to a BigQuery table. The ADK is designed to work inside the GCP ecosystem, so these integrations are straightforward.

Yes, it's a perfect fit. You can have your agent fetch data from multiple tools on this server, like `get_habitable_zone` and `get_transit_planets`, and analyze the combined results within a single prompt to the Gemini model.

You'll instantiate the `McpToolset` from the Google ADK with your Vinkius endpoint URL. Then you pass that toolset to your `LlmAgent` constructor. The agent will then have access to all the NASA exoplanet tools.

Yes. The `McpToolset` constructor in the Google ADK has a `tool_names` parameter. You can use it to expose only specific tools, like `get_habitable_zone`, to your agent if you need to restrict its capabilities.

It only processes public exoplanet data from NASA's archives—planet names, discovery years, and orbital mechanics. Since you're using the Google ADK, all data is handled within your own GCP project's security perimeter, on top of the ephemeral sandboxing Vinkius provides.

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