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

Index global disaster coordinates and full-disk satellite imagery directly into your LlamaIndex knowledge base.

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

Create your Vinkius account to connect NASA Earth — Full-Disk Imagery & Natural Events to LlamaIndex 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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Vectorize active EONET events

`get_natural_events` feeds active global incidents—wildfires, sea ice, and earthquakes—straight into your semantic index. Instead of just calling an API, LlamaIndex converts those raw coordinates and source links into searchable nodes within your RAG application. Your users query the index in natural language. When someone asks about recent volcanic eruptions, the agent pulls the exact ground-truth data from the latest EONET sync rather than guessing. Look at the raw data, not the hallucination.

Ground your LlamaIndex agent

`get_epic_images` grabs the latest full-disk Earth images taken from 1.5 million kilometers away. Your agent retrieves natural or enhanced color image URLs and embeds the metadata alongside your internal documents. Use `get_epic_by_date` to build historical context. The agent matches specific dates of interest against sun position data and image identifiers, creating a factual timeline of atmospheric conditions.

Connect the MCP Server

`get_event_categories` lists all 19 available EONET tracking categories so your agent knows exactly what it can search for. This prevents the system from attempting to query unsupported event types during a live session. You attach these endpoints using the McpToolSpec wrapper. The MCP protocol handles the transport layer, letting your FunctionAgent focus entirely on semantic retrieval and answer synthesis.

Setup guide

Set up NASA Earth — Full-Disk Imagery & Natural Events MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all NASA Earth — Full-Disk Imagery & Natural Events MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to NASA Earth — Full-Disk Imagery & Natural Events tools.",
)
response = await agent.run("List recent NASA Earth — Full-Disk Imagery & Natural Events data")

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 Earth — Full-Disk Imagery & Natural Events MCP in LlamaIndex

Install llama-index-tools-mcp. Set up a BasicMCPClient, wrap it in McpToolSpec, and pass the resulting tool list to your FunctionAgent.
Yes. The server provides a specific tool for listing all available historical dates, letting your agent index past satellite imagery metadata.
Your agent uses the categories tool to understand the available filters. It then applies those category IDs when requesting active natural events.
The client converts the standard protocol schema into native LlamaIndex tool specifications. Your agent treats the NASA endpoints just like local Python functions.
The server strictly reads public DSCOVR satellite metadata and EONET incident reports. Your local vector stores, indexed documents, and proprietary embeddings remain completely isolated on your machine.

Start using the NASA Earth — Full-Disk Imagery & Natural Events MCP today

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