Remote MCP Server and API for Ephemeris Data
✨ Try it now: Luna Astrology GPT uses this service
This is a totally free remote Model Context Protocol (MCP) server and API that provides ephemeris data for celestial bodies. MCP provides a standardized way to connect AI models to different data sources and tools.
Our server offers 11 specialized tools for astronomical and astrological calculations, accessible by AI assistants like Claude, ChatGPT, and other MCP-compatible applications.
Add this remote MCP server to Claude through your web interface:
https://ephemeris.fyi/mcp
Requirements: Available for Claude Pro, Max, Team, and Enterprise plans (currently in beta)
Click the button below to add the server to Cursor:
Alternatively, add this remote MCP server to Cursor IDE:
.cursor/mcp.json
in your project (or ~/.cursor/mcp.json
for
global access){ "mcpServers": { "ephemeris": { "url": "https://ephemeris.fyi/mcp" } } }
Connect to our MCP server at:
https://ephemeris.fyi/mcp
Our server uses StreamableHTTP transport with JSON-RPC 2.0 for stateless communication.
Supported Bodies: mercury, venus, mars, jupiter, saturn, uranus, neptune, pluto, sun, moon, chiron
If you prefer traditional REST API calls, all MCP tools are also available as REST endpoints:
# Get sun position
GET /ephemeris/get_single_body_position?body=sun&latitude=40.7128&longitude=-74.0060&datetime=2025-01-01T12:00:00Z
# Get multiple bodies
GET /ephemeris/get_ephemeris_data?bodies=sun,moon,mars&latitude=40.7128&longitude=-74.0060&datetime=2025-01-01T12:00:00Z
# Calculate aspects
GET /ephemeris/calculate_aspects?bodies=sun,moon,mars&latitude=40.7128&longitude=-74.0060&datetime=2025-01-01T12:00:00Z
Full API documentation is available in our OpenAPI specification.
Created by Matt Kane. This open-source project is available on GitHub.
This service is powered by the Moshier Ephemeris JS library, which implements Steve L. Moshier's astronomical ephemeris calculations in JavaScript. The Moshier Ephemeris provides high-precision planetary and lunar positions based on established astronomical algorithms.