Vedaksha

Name: Vedaksha
Author: arthiqlabs

@arthiqlabs

Vedaksha について

Vedākṣha — Astronomical ephemeris and Vedic astrology platform. Clean-room Rust implementation with sub-arcsecond precision.

#astrology #astronomy #vedic #ephemeris #jyotish #graph #json-ld #neo4j #ai-agent #rust #kundali

基本情報

カテゴリ

その他

ライセンス

NOASSERTION

ランタイム

rust

トランスポート

stdio

公開者

arthiqlabs

投稿者

ArthIQ Labs

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "vedaksha": {
      "command": "vedaksha-mcp"
    }
  }
}

ツール

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概要

What is Vedaksha?

Vedaksha is a clean-room Rust ephemeris and Vedic astrology engine, built for the agentic-AI era. It provides sub-arcsecond planetary precision and emits every chart as a queryable property graph, with all algorithms traced to primary sources. It is intended for AI agents, developers, and astrologers who need a verifiable, citation-based computational engine.

How to use Vedaksha?

Install the MCP server with cargo install vedaksha-mcp, then run vedaksha-mcp for stdio transport (Claude Desktop, Cursor, VS Code) or vedaksha-mcp --http --port 3100 for HTTP. Alternatively, use Docker: docker run -p 3100:3100 ghcr.io/arthiqlabs/vedaksha-mcp. For programmatic use, install the Rust crate (cargo add vedaksha), Python package (pip install vedaksha), or WASM module (npm install vedaksha-wasm).

Key features of Vedaksha

Clean-room, cited algorithms — every module traces to primary papers.
Sub-arcsecond accuracy validated against JPL Horizons.
870 tests + 8,700 oracle reference rows run on every CI.
12-tool Model Context Protocol server with property graph output.
Runs on native, Python, WebAssembly, Docker — zero data files.
First-class Jyotish: nakshatras, dashas, vargas, yogas, shadbala, ayanamshas.

Use cases of Vedaksha

AI agents querying natal charts, dashas, and transits via MCP.
Web applications computing Vedic charts directly in the browser (WASM).
Server-side astrology engines with sub-arcsecond ephemeris accuracy.
Integration with graph databases (Cypher, SurrealQL, JSON-LD) for chart analysis.

FAQ from Vedaksha

What makes Vedaksha different from other ephemeris libraries?

Vedaksha is clean-room — every algorithm has a // Source: doc-comment pointing at a primary paper (VSOP87A, ELP/MPP02, IAU standards, BPHS, Jaimini) and is never derived from other software, ensuring no GPL contamination.

What ephemeris providers does Vedaksha offer?

Two providers: SpkReader uses DE440s (~31 MB on disk) for sub-arcsecond accuracy; AnalyticalProvider uses compile-time constants (VSOP87A + ELP/MPP02) with no data files, ideal for WASM and edge environments.

How accurate is Vedaksha?

SpkReader achieves sub-arcsecond planetary longitude; AnalyticalProvider stays under 15″ for planets and under 1″ for the Moon (average 0.23″ vs JPL Horizons 1900–2100). House cusps and ayanamshas are accurate to <0.01°.

How do I run Vedaksha as an MCP server?

Install vedaksha-mcp via cargo, then run vedaksha-mcp for stdio (AI agent tools) or vedaksha-mcp --http --port 3100 for HTTP. A Docker image is also available: ghcr.io/arthiqlabs/vedaksha-mcp.

What license does Vedaksha use?

Business Source License 1.1. Non-commercial use is free; commercial use costs $500 one-time per organization. Each version converts to Apache 2.0 five years after its release date.

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