openephemeris/openephemeris-MCP
by Various
MCP server and API examples for OpenEphemeris — NASA JPL ephemeris API for AI agents
MCP
openephemeris/openephemeris-MCP
Added 16 Sept 2026
Overview
An MCP server and API examples for OpenEphemeris, a NASA JPL ephemeris API. It exposes ephemeris data to AI agents through the Model Context Protocol, with Python example code for common query patterns.
Best for
Best for
Developers building AI agents that need NASA JPL ephemeris data
Use cases
- Retrieve celestial body positions for AI agent tasks
- Expose NASA JPL ephemeris data through MCP-compatible tools
- Prototype agent workflows that consume astronomical time-series data
How to use
Install
npx -y @smithery/cli install @open-ephemeris/openephemeris --client claude Tools exposed
explore_natal_chartexplore_bi_wheelexplore_human_designexplore_human_design_transitexplore_human_design_connectionexplore_vedic_chartexplore_bazi_chartexplore_transit_timelineexplore_moon_phaseoutput_modeOPENEPHEMERIS_API_KEYASTROMCP_API_KEYOPENEPHEMERIS_BACKEND_URLOPENEPHEMERIS_PROFILEOPENEPHEMERIS_TOOLSOPENEPHEMERIS_TELEMETRYOPENEPHEMERIS_SERVICE_KEYOPENEPHEMERIS_JWTOPENEPHEMERIS_DEV_ALLOWLIST_PATHMCP_USER_ID
Tested with
Claude Desktop, Cursor, Windsurf, ChatGPT
Notes
An MCP server and API examples for OpenEphemeris, a NASA JPL ephemeris API. It exposes ephemeris data to AI agents through the Model Context Protocol, with Python example code for common query patterns.
4 stars on GitHub. Last updated 2026-09-15. Licensed MIT.
Use cases
- Retrieve celestial body positions for AI agent tasks
- Expose NASA JPL ephemeris data through MCP-compatible tools
- Prototype agent workflows that consume astronomical time-series data
Pros
- Focused, minimal Python implementation
- Includes working API examples for quick integration
- Direct pathway from AI agents to NASA JPL ephemeris data
Cons
- Very few GitHub stars, indicating limited community traction
- Depends on network access to the NASA JPL API
- Niche scope limited to astronomical ephemeris queries
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Focused, minimal Python implementation
- Includes working API examples for quick integration
- Direct pathway from AI agents to NASA JPL ephemeris data
Cons
- Very few GitHub stars, indicating limited community traction
- Depends on network access to the NASA JPL API
- Niche scope limited to astronomical ephemeris queries
Pairs with
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