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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!

基于原项目: 此项目基于 NASA-MCP-server 修改而来

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)

Related MCP server: NASA MCP Service

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 @bachstudio/nasa-mcp-server@latest

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

npx -y @bachstudio/nasa-mcp-server@latest --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/BACH-AI-Tools/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", "@bachstudio/nasa-mcp-server@latest"],
      "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

NASA_API_KEY

Your NASA API key (get at api.nasa.gov)

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)

  2. JPL Solar System Dynamics API (ssd-api.jpl.nasa.gov):

    • SBDB (Small-Body DataBase)

    • SBDB Close-Approach Data

    • Fireball Data

    • Scout API

  3. 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/BACH-AI-Tools/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

Available Tools

23 tools
jpl_cadC

Asteroid and comet close approaches to the planets in the past and future

Inputs: dist_max, dist_min, date_min, date_max, +6 more.

jpl_fireballC

Fireball data - atmospheric impact events

Inputs: limit, date_min, date_max.

jpl_horizonsC

JPL Horizons - Solar system objects ephemeris data

Inputs: COMMAND (required), format, OBJ_DATA, MAKE_EPHEM, +7 more.

jpl_horizons_fileC

JPL Horizons - Solar system objects ephemeris data (File Input)

Inputs: COMMAND (required), format, OBJ_DATA, MAKE_EPHEM, +7 more.

jpl_jd_calC

Julian Day number to/from calendar date/time converter

Inputs: jd, cd.

jpl_nhatsC

Human-accessible NEOs (Near-Earth Objects) data

Inputs: dv, dur, stay, launch, +5 more.

jpl_periodic_orbitsD

JPL Three-Body Periodic Orbits Database

Inputs: sys (required), family (required), libr, branch, +7 more.

jpl_sbdbC

Small-Body Database (SBDB) - asteroid and comet data

Inputs: sstr (required), cad.

jpl_scoutB

Scout - NEOCP orbits, ephemerides, and impact risk data

Inputs: tdes, orbit_id, limit, file, +2 more.

jpl_sentryC

JPL Sentry - NEO Earth impact risk assessment data

Inputs: limit, date_min, date_max, des, +6 more.

nasa_apodC

Fetch NASA's Astronomy Picture of the Day

Inputs: date (required), count, start_date, end_date, +1 more.

nasa_cmrC

NASA Common Metadata Repository - search for NASA data collections

Inputs: keyword (required), search_type (required), format (required), limit, +2 more.

nasa_donkiD

Space Weather Database Of Notifications, Knowledge, Information

Inputs: type (required), startDate, endDate.

nasa_eonetC

Earth Observatory Natural Event Tracker - natural events data

Inputs: category, days, source, status, +1 more.

nasa_epicC

Earth Polychromatic Imaging Camera - views of Earth

Inputs: collection, date.

nasa_exoplanetC

NASA Exoplanet Archive - data about planets beyond our solar system

Inputs: table (required), select, where, order, +1 more.

nasa_firmsD

NASA Fire Information for Resource Management System - fire data

Inputs: latitude (required), longitude (required), days.

nasa_gibsC

Global Imagery Browse Services - satellite imagery

Inputs: layer (required), date (required), format, resolution.

nasa_imagesC

NASA Image and Video Library - search NASA's media archive

Inputs: q (required), media_type, year_start, year_end, +1 more.

nasa_mars_roverC

NASA Mars Rover Photos - images from Mars rovers

Inputs: rover (required), sol, earth_date, camera, +1 more.

nasa_neoC

Near Earth Object Web Service - information about asteroids

Inputs: start_date (required), end_date (required), asteroid_id.

nasa_osdr_filesC

NASA OSDR - Get data files for an OSD study

Inputs: accession_number (required).

nasa_powerD

Prediction of Worldwide Energy Resources - meteorological data

Inputs: parameters (required), community (required), longitude (required), latitude (required), +3 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.1/5.0

    Scored across 23 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting specific NASA data sources or services, with no overlap in functionality. For example, jpl_sbdb provides asteroid/comet data, while nasa_apod fetches daily astronomy images, and nasa_firms offers fire data—all serve unique roles.

    Naming Consistency5/5

    Tool names follow a highly consistent pattern with a clear prefix (jpl_ or nasa_) indicating the source, followed by a descriptive identifier (e.g., cad, fireball, apod). This structured naming makes it easy to identify and categorize tools by domain and origin.

    Tool Count4/5

    With 23 tools, the count is slightly high but reasonable given the broad scope of NASA's diverse data services. It covers multiple domains like astronomy, Earth science, and space weather without being excessive, though it may feel heavy for some use cases.

    Completeness5/5

    The tool set provides comprehensive coverage across NASA's data offerings, including astronomy (apod, exoplanet), Earth observation (eonet, epic, firms), solar system objects (jpl tools), and specialized services (donki, power). No obvious gaps exist for accessing NASA's public data resources.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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