NASA-MCP-server

WHAT IT CONNECTS

NASA-MCP-server 为 AI Agent 提供什么

• 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)
• **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)
• **JPL Solar System Dynamics API** (ssd-api.jpl.nasa.gov):
• SBDB (Small-Body DataBase)
• SBDB Close-Approach Data
• Fireball Data
• Scout API
• **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)
• Operation status and progress
• Performance metrics
• Rate limit tracking
• Error conditions
• Request validation
• 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
• Build the project to ensure the latest changes are included
• Start the MCP Inspector with the NASA MCP server running
• Allow you to interactively test all the NASA APIs
• Fork the repository
• Create your feature branch
• Run tests: `npm test`
• Submit a pull request