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NASA MCP

MCP Server

Access NASA data via Model Context Protocol

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Updated Aug 17, 2025

About

NASA-MCP is an MCP server that exposes tools for LLMs to query NASA APIs—APOD, asteroid data, space weather, Earth imagery, EPIC, and exoplanets—using secure API keys and robust error handling.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

NASA MCP in Action

Overview

The NASA-MCP server is a Model Context Protocol (MCP) gateway that exposes a curated set of NASA’s public APIs to AI assistants such as Claude. By turning remote space‑science data into first‑class tools, it eliminates the need for developers to write custom API wrappers or handle authentication logic. Instead, a single MCP configuration lets an LLM query real‑time astronomy images, asteroid alerts, space‑weather reports, Earth satellite imagery, and exoplanet catalogs—all within the same conversational context.

At its core, NASA-MCP translates high‑level prompts into concrete API calls. When a user asks for “Show me today’s astronomy picture of the day,” the server automatically contacts NASA’s APOD endpoint, retrieves the image and metadata, and returns a formatted response that can be displayed directly in the chat interface. This seamless integration turns static datasets into dynamic, context‑aware knowledge sources that can be leveraged for research, education, or creative projects.

Key capabilities include:

  • Astronomy Picture of the Day (APOD) – fetches daily imagery with explanatory captions.
  • Near Earth Objects (NeoWs) – provides up‑to‑date asteroid tracking data.
  • Space Weather (DONKI) – delivers alerts on solar flares, geomagnetic storms, and other heliophysical events.
  • Earth Imagery – retrieves Landsat 8 satellite snapshots for any latitude/longitude pair.
  • EPIC – supplies full‑disk Earth images from the EPIC camera.
  • Exoplanet Archive – queries planetary data beyond our solar system.

The server handles API key management, rate‑limit compliance, and error handling internally, so developers can focus on building higher‑level logic. Because it follows the MCP specification, the same server configuration works across a variety of clients—Claude for Desktop, Cursor, CODEGPT, or any MCP‑compatible platform—making it a versatile addition to any AI‑driven workflow.

In practice, NASA-MCP is ideal for educational tools that need live space imagery, scientific research assistants that require up‑to‑date asteroid or solar‑weather data, or creative applications that want to embed real planetary visuals into narratives. By bridging the gap between raw NASA APIs and conversational AI, it unlocks a wealth of space‑science content with minimal integration effort.