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arthiqlabs/vedaksha

by Various

Vedaksha — clean-room Vedic astrology & astronomical ephemeris engine (kundali, panchanga, dashas, nakshatras, vargas) with sub-arcsecond precision. Rust, Python, WebAssembly, and

MCP

arthiqlabs/vedaksha

Added 3 Sept 2026

#ai-agents #astrology #astronomy #dasha #ephemeris #horoscope #jpl-ephemeris #jyotish

Overview

Vedaksha is a clean-room Vedic astrology and astronomical ephemeris engine written in Rust. It computes kundali, panchanga, dashas, nakshatras, and vargas with sub-arcsecond precision. Bindings exist for Python and WebAssembly, plus an MCP server for AI agents.

Best for

Best for
Developers building Vedic astrology tools or AI agents needing ephemeris data.

Use cases

  • Generate kundali charts programmatically
  • Calculate panchanga and dasha periods
  • Serve ephemeris data to AI agents via MCP

How to use

Install

cargo install vedaksha-mcp && vedaksha-mcp

Tested with

Claude Desktop, Cursor, VS Code

Notes

Vedaksha is a clean-room Vedic astrology and astronomical ephemeris engine written in Rust. It computes kundali, panchanga, dashas, nakshatras, and vargas with sub-arcsecond precision. Bindings exist for Python and WebAssembly, plus an MCP server for AI agents.

3 stars on GitHub. Last updated 2026-09-01.

Use cases

  • Generate kundali charts programmatically
  • Calculate panchanga and dasha periods
  • Serve ephemeris data to AI agents via MCP

Pros

  • Sub-arcsecond precision for astronomical calculations
  • Clean-room implementation avoids legacy code issues
  • Multiple interfaces: Rust, Python, WASM, MCP

Cons

  • Low adoption (3 stars) suggests limited community support
  • Vedic astrology domain complexity may require domain expertise
  • Vendor listed as Various, so no single commercial backing

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Sub-arcsecond precision for astronomical calculations
  • Clean-room implementation avoids legacy code issues
  • Multiple interfaces: Rust, Python, WASM, MCP

Cons

  • Low adoption (3 stars) suggests limited community support
  • Vedic astrology domain complexity may require domain expertise
  • Vendor listed as Various, so no single commercial backing
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