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NASA MCP Server: Empower AI Models, Unlock NASA Data Universe - MCP Implementation

NASA MCP Server: Empower AI Models, Unlock NASA Data Universe

Unleash AI's potential with NASA MCP Server - the gateway to NASA's universe of data! Standardize access, empower models, and turn cosmic insights into breakthroughs." )

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Ranked in the top 5% of all AI tools in its category

About NASA MCP Server

What is NASA MCP Server: Empower AI Models, Unlock NASA Data Universe?

The NASA MCP Server is a specialized API gateway built on the Model Context Protocol (MCP). It enables seamless integration of NASA's vast scientific datasets into AI/ML workflows, allowing developers to query space imagery, planetary data, and astrophysical research through standardized protocol-compliant endpoints. This server acts as a bridge between advanced computational models and NASA's open-source data resources.

How to Use NASA MCP Server: Empower AI Models, Unlock NASA Data Universe?

Implementation Steps

  • Install dependencies via npm and configure environment variables with official NASA API keys
  • Build TypeScript codebase using npm run build
  • Initialize MCP client connections through HTTP transport layer
  • Execute protocol-compliant requests targeting 20+ NASA data endpoints

Sample Code


// Connect to MCP server instance
const transport = new HttpClientTransport({url: "http://localhost:3000"});
const client = new Client({name: "astro-model", version: "2.1.0"});
await client.connect(transport);

// Retrieve planetary data
const marsData = await client.request({
  method: "nasa/planetary-data",
  params: {body: "mars", sensor: "insight-lander"}
});
    

NASA MCP Server Features

Key Features of NASA MCP Server: Empower AI Models, Unlock NASA Data Universe?

  • Protocol-compliant security framework with Zod schema validation
  • Rate limiting and timeout controls for production environments
  • Support for 15+ NASA APIs including GIBS, NEO, and Planetary Data System
  • Interactive testing via MCP Inspector with pre-configured test suites
  • Full compliance with Model Context Protocol v2.3 specifications

Use Cases: Leveraging NASA MCP Server in AI Workflows

AI-Driven Space Research

Train neural networks using Hubble telescope imagery via the nasa/space-telescope endpoint

Planetary Science Modeling

Access real-time Mars weather data from InSight lander through nasa/planetary-weather

Educational Applications

Integrate astronaut training simulations with nasa/emergency-procedures API

NASA MCP Server FAQ

FAQ: Common Questions About NASA MCP Server

Is this compatible with TensorFlow/PyTorch?

Yes - returns standardized JSON payloads compatible with all ML frameworks

What authentication methods are supported?

OAuth2 with NASA Earthdata Login integration and API key authentication

Can I deploy this in Kubernetes?

Yes - provides Dockerfiles and Helm charts for production deployments

How is data versioning handled?

Endpoints include version parameter to specify data release cycles

Content

NASA MCP Server

A Model Context Protocol (MCP) server for NASA APIs, providing a standardized interface for AI models to interact with NASA's vast array of data sources. This server implements the official Model Context Protocol specification.

Big thanks to the MCP community for their support and guidance!

Features

  • Access to 20+ NASA data sources through a single, consistent interface
  • Standardized data formats optimized for AI consumption
  • Automatic parameter validation and error handling
  • Rate limit management for NASA API keys
  • Comprehensive documentation and examples
  • Support for various NASA imagery formats
  • Data conversion and formatting for LLM compatibility
  • Cross-platform support (Windows, macOS, Linux)

Disclaimer

This project is not affiliated with, endorsed by, or related to NASA (National Aeronautics and Space Administration) or any of its subsidiaries or its affiliates. It is an independent implementation that accesses NASA's publicly available APIs. All NASA data used is publicly available and subject to NASA's data usage policies.

Installation

Running with npx

env NASA_API_KEY=YOUR_API_KEY npx -y @programcomputer/nasa-mcp-server

You can also pass the API key as a command line argument:

npx -y @programcomputer/nasa-mcp-server --nasa-api-key=YOUR_API_KEY

Using SuperGateway for Server-Sent Events (SSE)

You can use SuperGateway for Server-Sent Events (SSE).

The developers of NASA-MCP-server DO NOT ENDORSE the SuperGateway repository. This information is provided for those who wish to implement SSE functionality at their own discretion.

Manual Installation

# Clone the repository
git clone https://github.com/ProgramComputer/NASA-MCP-server.git

# Install dependencies
cd NASA-MCP-server
npm install

# Run with your API key
NASA_API_KEY=YOUR_API_KEY npm start

Running on Cursor

Configuring Cursor 🖥️ Note: Requires Cursor version 0.45.6+

To configure NASA MCP Server in Cursor:

Create or edit an mcp.json file in your Cursor configuration directory with the following content:

{
  "mcpServers": {
    "nasa-mcp": {
      "command": "npx",
      "args": ["-y", "@programcomputer/nasa-mcp-server"],
      "env": {
        "NASA_API_KEY": "your-api-key"
      }
    }
  }
}

Replace your-api-key with your NASA API key from https://api.nasa.gov/.

After adding the configuration, restart Cursor to see the new NASA tools. The Composer Agent will automatically use NASA MCP when appropriate for space-related queries.

Environment Variables

The server can be configured with the following environment variables:

Variable Description Default
NASA_API_KEY Your NASA API key (get at api.nasa.gov) DEMO_KEY (limited usage)
PORT Port to run the server on 3000
LOG_LEVEL Logging level (debug, info, warn, error) info
CACHE_DURATION Cache duration in seconds 3600 (1 hour)
RATE_LIMIT Maximum requests per hour Based on API key

Included NASA APIs

This MCP server integrates the following NASA APIs:

  1. NASA Open API (api.nasa.gov):
* APOD (Astronomy Picture of the Day)
* EPIC (Earth Polychromatic Imaging Camera)
* DONKI (Space Weather Database Of Notifications, Knowledge, Information)
* Insight (Mars Weather Service)
* Mars Rover Photos
* NEO (Near Earth Object Web Service)
* EONET (Earth Observatory Natural Event Tracker)
* TLE (Two-Line Element)
* NASA Image and Video Library
* Exoplanet Archive
* NASA Sounds API (Beta)
* POWER (Prediction Of Worldwide Energy Resources)
  1. JPL Solar System Dynamics API (ssd-api.jpl.nasa.gov):
* SBDB (Small-Body DataBase)
* SBDB Close-Approach Data
* Fireball Data
* Scout API
  1. Earth Data APIs :
* GIBS (Global Imagery Browse Services)
* CMR (Common Metadata Repository) - Enhanced with advanced search capabilities
* EPIC (Earth Polychromatic Imaging Camera)
* FIRMS (Fire Information for Resource Management System)

API Methods

Each NASA API is exposed through standardized MCP methods:

APOD (Astronomy Picture of the Day)

{
  "method": "nasa/apod",
  "params": {
    "date": "2023-01-01", // Optional: YYYY-MM-DD format
    "count": 5, // Optional: Return a specified number of random images
    "thumbs": true // Optional: Return URL of video thumbnail
  }
}

Mars Rover Photos

{
  "method": "nasa/mars-rover",
  "params": {
    "rover": "curiosity", // Required: "curiosity", "opportunity", or "spirit"
    "sol": 1000, // Either sol or earth_date is required
    "earth_date": "2023-01-01", // YYYY-MM-DD format
    "camera": "FHAZ" // Optional: Filter by camera type
  }
}

Near Earth Objects

{
  "method": "nasa/neo",
  "params": {
    "start_date": "2023-01-01", // Required: YYYY-MM-DD format
    "end_date": "2023-01-07" // Required: YYYY-MM-DD format (max 7 days from start)
  }
}

GIBS (Global Imagery Browse Services)

{
  "method": "nasa/gibs",
  "params": {
    "layer": "MODIS_Terra_CorrectedReflectance_TrueColor", // Required: Layer ID
    "date": "2023-01-01", // Required: YYYY-MM-DD format
    "format": "png" // Optional: "png" or "jpg"
  }
}

POWER (Prediction Of Worldwide Energy Resources)

{
  "method": "nasa/power",
  "params": {
    "parameters": "T2M,PRECTOTCORR,WS10M", // Required: Comma-separated list
    "community": "re", // Required: Community identifier
    "latitude": 40.7128, // Required: Latitude
    "longitude": -74.0060, // Required: Longitude
    "start": "20220101", // Required: Start date (YYYYMMDD)
    "end": "20220107" // Required: End date (YYYYMMDD)
  }
}

For complete documentation of all available methods and parameters, see the API reference in the /docs directory.

Logging System

The server includes comprehensive logging:

  • Operation status and progress
  • Performance metrics
  • Rate limit tracking
  • Error conditions
  • Request validation

Example log messages:

[INFO] NASA MCP Server initialized successfully
[INFO] Processing APOD request for date: 2023-01-01
[INFO] Fetching Mars Rover data for Curiosity, sol 1000
[WARNING] Rate limit threshold reached (80%)
[ERROR] Invalid parameter: 'date' must be in YYYY-MM-DD format

Security Considerations

This MCP server implements security best practices following the Model Context Protocol specifications:

  • Input validation and sanitization using Zod schemas
  • No execution of arbitrary code
  • Protection against command injection
  • Proper error handling to prevent information leakage
  • Rate limiting and timeout controls for API requests
  • No persistent state that could be exploited across sessions

Development

# Clone the repository
git clone https://github.com/ProgramComputer/NASA-MCP-server.git

# Install dependencies
npm install

# Copy the example environment file and update with your API keys
cp .env.example .env

# Build the TypeScript code
npm run build

# Start the development server
npm run dev

# Run tests
npm test

Testing with MCP Inspector

The NASA MCP Server includes a script to help you test the APIs using the MCP Inspector:

# Run the provided test script
./scripts/test-with-inspector.sh

This will:

  1. Build the project to ensure the latest changes are included
  2. Start the MCP Inspector with the NASA MCP server running
  3. Allow you to interactively test all the NASA APIs

Example Test Requests

The repository includes example test requests for each API that you can copy and paste into the MCP Inspector:

# View the example test requests
cat docs/inspector-test-examples.md

For detailed examples, see the Inspector Test Examples document.

MCP Client Usage

This server follows the official Model Context Protocol. Here's an example of how to use it with the MCP SDK:

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { HttpClientTransport } from "@modelcontextprotocol/sdk/client/http.js";

const transport = new HttpClientTransport({
  url: "http://localhost:3000",
});

const client = new Client({
  name: "mcp-client",
  version: "1.0.0",
});

await client.connect(transport);

// Example: Get today's Astronomy Picture of the Day
const apodResult = await client.request({
  method: "nasa/apod", 
  params: {}
});

// Example: Get Mars Rover photos
const marsRoverResult = await client.request({
  method: "nasa/mars-rover",
  params: { rover: "curiosity", sol: 1000 }
});

// Example: Search for Near Earth Objects
const neoResults = await client.request({
  method: "nasa/neo",
  params: {
    start_date: '2023-01-01',
    end_date: '2023-01-07'
  }
});

// Example: Get satellite imagery from GIBS
const satelliteImage = await client.request({
  method: "nasa/gibs",
  params: {
    layer: 'MODIS_Terra_CorrectedReflectance_TrueColor',
    date: '2023-01-01'
  }
});

// Example: Use the new POWER API
const powerData = await client.request({
  method: "nasa/power",
  params: {
    parameters: "T2M,PRECTOTCORR,WS10M",
    community: "re",
    latitude: 40.7128,
    longitude: -74.0060,
    start: "20220101",
    end: "20220107"
  }
});

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Run tests: npm test
  4. Submit a pull request

License

ISC License - see LICENSE file for details

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