NASA API
NASA-MCP provides a comprehensive interface to NASA's APIs through the Model Context Protocol, enabling AI assistants to access astronomical data, space weather information, Earth imagery, and more. The implementation includes tools for querying the Astronomy Picture of the Day (APOD), Near Earth Objects, DONKI space weather database, Earth imagery from Landsat 8, EPIC camera images, and exoplanet data. Built with Python and the FastMCP framework, it features secure API key handling, robust error management, and detailed response formatting for all NASA data endpoints, making it particularly valuable for educational contexts, space research, and Earth observation applications without requiring technical knowledge of NASA's API structure.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/ancode666/nasa-mcp
- Author type
- human
- Updated
- 2026-06-16
Use via MCP
Resolve NASA API from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.