How to Use the NASA Earth — Full-Disk Imagery & Natural Events MCP in Google ADK

Q: How do I add NASA Earth — Full-Disk Imagery & Natural Events to Google ADK?

Pass the server URL to the McpToolset within your agent definition. Google ADK will handle the transport, allowing your agents to invoke tools like getepicimages directly.

Q: Does NASA Earth — Full-Disk Imagery & Natural Events work well with Google ADK long-context?

Absolutely. You can pipe the JSON outputs from getnaturalevents into your 1M+ token context window. This allows the agent to reason over vast amounts of historical event data.

Q: Can Google ADK agents filter NASA Earth — Full-Disk Imagery & Natural Events data?

Yes, you can use the toolnames filter in your McpToolset configuration. This restricts the agent to only the data points you deem necessary for your specific task.

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Connect NASA Earth — Full-Disk Imagery & Natural Events MCP to Google ADK

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Setup NASA Earth — Full-Disk Imagery & Natural Events with Google ADK

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Direct satellite imagery access

Retrieve full-disk shots of the planet for your Gemini-powered agents. The `get_epic_images` tool provides the latest natural and enhanced color views. These visuals integrate into your existing Google Cloud infrastructure. Your agents can now process global imagery alongside your BigQuery datasets for a more complete picture.

Global event intelligence

Map active natural events like volcanic eruptions or icebergs using `get_natural_events`. The tool returns structured data including precise coordinates for geographic analysis. Use `get_event_categories` to narrow down the noise. This allows your agent to focus specifically on events that matter to your current infrastructure or operations.

Coordinate-based metadata retrieval

Fetch detailed event logs using `get_natural_events` and cross-reference them with `get_epic_by_date` for visual confirmation. This workflow gives your agent the ability to correlate event metadata with actual satellite imagery. It is a solid way to verify ground-truth reports against visual evidence.

Setup guide

Set up NASA Earth — Full-Disk Imagery & Natural Events 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 Earth — Full-Disk Imagery & Natural Events 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 Earth — Full-Disk Imagery & Natural Events_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NASA Earth — Full-Disk Imagery & Natural Events tools via MCP.",
    tools=mcp_tools,
)

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Common questions about NASA Earth — Full-Disk Imagery & Natural Events MCP in Google ADK

Pass the server URL to the `McpToolset` within your agent definition. Google ADK will handle the transport, allowing your agents to invoke tools like `get_epic_images` directly.

Absolutely. You can pipe the JSON outputs from `get_natural_events` into your 1M+ token context window. This allows the agent to reason over vast amounts of historical event data.

Yes, you can use the tool_names filter in your `McpToolset` configuration. This restricts the agent to only the data points you deem necessary for your specific task.

The MCP server reports standard error codes. You should implement basic retry logic in your agent to handle temporary network blips or API latency.

You provide your credentials via environment variables. The server uses them to authenticate your requests while keeping your tokens out of the agent's memory space.

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