Jyotish — Vedic astrology for AI agents

Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/entradox-ai-jyotish-bot

About

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

7 read · 0 write · 0 delete · 1 not yet classified

Secrets

None asked for

Install scripts

Nothing to install (hosted)

Runs as

Hosted (remote endpoint)

Tools (8)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• ask_jyotish

  Grounded synthesis answer to a question, computed from the birth chart through the same accuracy-gated path as the retail chat endpoint (chart-anchor check and rewrite retry inside run_reading). The response envelope carries citation_status and accuracy-gate notes. lang: en or hi (default en).

• get_chart_facts

  Deterministic Vedic chart facts for birth data: lagna, Moon sign/nakshatra, current dasha, planets in houses, house lords, dignities, combustions, D9/D10 ascendants, Sade Sati standing, yogas with classical-text citations, dasha timeline. Pure computation, no LLM. Same output as POST /api/b2b/chart-facts.

• get_dasha

  Vimshottari dasha standing and full timeline for birth data: current maha / antar / pratyantar dasha plus every maha-dasha period with start and end dates. Deterministic, no LLM. Same compute path as POST /api/b2b/dasha.

• get_doshas

  Dosha screen for birth data: Manglik standing under both conventions (Moon and Lagna), Kaal Sarp detection, Sade Sati phase, and extra classical yogas. Deterministic, no LLM. lang: en or hi (default en). Same compute path as POST /api/b2b/doshas.

• get_forecast

  Structured personalized forecast for birth data — per-area tones, day calendar, ingresses, dasha standing. period: daily (optional date), weekly, monthly (optional year+month), or yearly (optional year). Deterministic engine output, no LLM narration. lang: en or hi (default en). Same compute path as POST /api/b2b/forecast.

• get_panchangHindu panchang for a place and dateread-only

  Use when a user asks about the Hindu calendar day for a location — tithi, paksha, nakshatra, yoga, karana, vara and its lord, sunrise and sunset, plus Rahu Kaal, Yamaganda, Gulika Kaal and the Choghadiya day/night windows. Needs only a place and a date, so it works without anyone's birth details. Deterministic computation, no LLM. Same compute path as GET /api/panchang.

• get_varga

  Divisional chart (varga) placements for birth data — all sixteen supported divisions d1,d2,d3,d4,d7,d9,d10,d12,d16,d20,d24,d27,d30,d40,d45,d60. Deterministic, no LLM. Same compute path as POST /api/b2b/varga.

• guna_milan

  Vedic compatibility (Guna Milan / Ashtakoota) between two people, 36 points across eight kootas: varna, vashya, tara, yoni, graha_maitri, gana, bhakoot, nadi. Moon nakshatra and rashi for each native are computed from their birth data through the same chart engine as get_chart_facts — do not pass nakshatra/rashi yourself. Deterministic, no LLM. Each koota carries its score, its maximum, and a plain-language reason, so the result is auditable rather than a bare number.

Signals

Last release

Sep 22, 2026 (1 month ago)

Repository

Not found on GitHub (deleted or private)

Details

Registry name

io.github.entradox/ai-jyotish-bot

Version

1.0.0

Auth

Auth not stated

License

License unknown

Repository

github.com/entradox/ai-jyotish-bot

Website

github.com/entradox/ai-jyotish-bot

First seen

Oct 24, 2026

Last checked

Oct 25, 2026

Source

Official MCP Registry