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

Build composable ReAct agents that track global wildfires and fetch satellite imagery using LangChain.

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

Create your Vinkius account to connect NASA Earth — Full-Disk Imagery & Natural Events to LangChain 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 Earth — Full-Disk Imagery & Natural Events with LangChain

Ask AI about this MCP

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Claude

Perplexity

Sequence NASA tools in LangChain

`get_epic_dates` finds the exact days the DSCOVR satellite captured full-disk Earth imagery. You pass that output directly into `get_epic_by_date` to pull coordinates, sun positioning, and image identifiers for the next step in your chain. LangChain agents handle the sequence automatically. Your pipeline grabs the raw metadata, formats the URLs, and pulls the natural color images down without manual intervention. Dirt simple execution.

Track active natural events

`get_natural_events` pulls active wildfires, volcanic eruptions, and severe storms straight from EONET into your ReAct agent's context window. You get exact coordinates and source links for every active incident happening on the planet right now. Combine this with `get_event_categories` to filter out noise. If your agent only cares about sea ice or dust haze, it restricts the API call, keeping your token usage low and your LangSmith traces clean.

Observe your MCP Server calls

`get_epic_images` acts as your primary visual tool, and every time your agent hits it, LangSmith logs the exact latency of the MCP server invocation. You see exactly how long the NASA API took to respond with the latest full-disk imagery. This observability matters when chaining multiple external services. You spot bottlenecks immediately if the EONET endpoint slows down your multi-step disaster response pipeline.

Setup guide

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

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes NASA Earth — Full-Disk Imagery & Natural Events tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "nasa-earth-full-disk-imagery-natural-events-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent NASA Earth — Full-Disk Imagery & Natural Events transactions"
    })
    print(result["messages"][-1].content)

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

Install the adapters via pip install langchain-mcp-adapters langgraph. Initialize a MultiServerMCPClient pointing to the MCP server URL, call get_tools(), and pass them into your ReAct agent.

Yes. The agent learns to call the dates endpoint first, then feeds the chosen date into the specific image metadata tool. The chain handles the parameter passing automatically.

The server exposes 19 specific EONET categories. Your agent tracks wildfires, severe storms, volcanoes, earthquakes, floods, and sea ice based on active global incidents.

Every tool call logs directly to LangSmith. You track the exact inputs sent to the NASA endpoints and the raw JSON outputs returned to your agent.

This integration only pulls public Earth observation data. It requests EONET event coordinates and EPIC satellite image URLs, never touching your local files, private databases, or user identity records.

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