MCP server

Jyotish — Vedic astrology for AI agents

io.github.entradox/ai-jyotish-bot

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Vedic astrology for AI agents: chart facts, panchang windows, and Guna Milan compatibility.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

8

Token cost

About 2,320 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ai-jyotish-bot https://jyotish-mcp-production.up.railway.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ai-jyotish-bot]
url = "https://jyotish-mcp-production.up.railway.app/mcp"

Gemini CLI

{"mcpServers":{"ai-jyotish-bot":{"httpUrl":"https://jyotish-mcp-production.up.railway.app/mcp"}}}

Cursor

{"mcpServers":{"ai-jyotish-bot":{"url":"https://jyotish-mcp-production.up.railway.app/mcp"}}}

VS Code

{"servers":{"ai-jyotish-bot":{"type":"http","url":"https://jyotish-mcp-production.up.railway.app/mcp"}}}

Antigravity

agy mcp add ai-jyotish-bot https://jyotish-mcp-production.up.railway.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ai-jyotish-bot","server_url":"https://jyotish-mcp-production.up.railway.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ai-jyotish-bot","server_url":"https://jyotish-mcp-production.up.railway.app/mcp"}

Tools

• ask_jyotish ~289 tokens
  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 ~234 tokens
  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-
• get_dasha ~228 tokens
  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 ~248 tokens
  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 ~362 tokens
  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
• get_panchang ~238 tokens
  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. De
• get_varga ~262 tokens
  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 ~459 tokens
  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 na

Browse

• GitHub tools
• Calendars
• GitHub and code hosting
• Calling other AI models

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