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astro

Astrology MCP server & Agent Skill — birth charts, transits, synastry across Western, Vedic/Jyotish & Chinese BaZi. Deterministic zero-dependency Python engine. 18 MCP tools, 31 REST endpoints, ChatGPT Action. Free & self-hostable.

Install / Use

claude mcp add aryaminus -- npx -y github:aryaminus/astro

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

78/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of astro

astro scores 78/100 on our quality scale, 803rd of 968 AI & Machine Learning skills we index.

Its MCP Server is 9.7 KB long, well organised into 9 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
4/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 83/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

astro compared with similar skills

All 4 of these similar skills score higher than astro; compare them before choosing.

SkillScoreStarsUpdatedFormat
astro (this skill)by aryaminus78104mo agoMCP Server
claude-memby thedotmack100100.2ktodayCLAUDE.md
Agent-Reachby Panniantong10096.7k5d agoCLAUDE.md
Understand-Anythingby Egonex-AI10086.1ktodayCLAUDE.md
headroomby headroomlabs-ai10075.2ktodayCLAUDE.md

Frequently asked questions

How do I install astro?
Run claude mcp add aryaminus -- npx -y github:aryaminus/astro. The install tabs above show the steps for each supported agent.
Which AI agents does astro work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is astro safe to use?
It declares no license and scores 83/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is astro still maintained?
The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

Astro — Multi-Tradition Astrology Engine for AI Agents

Trustworthy birth charts, transits, and synastry across Western, Vedic/Jyotish, and Chinese BaZi. The engine computes; the model interprets.

MIT Python 3.10+ MCP REST Deploy smithery badge


Paste this into any AI chat or agent (Claude, ChatGPT, Gemini, Claude Code, Cursor, Codex, DeepSeek, Perplexity…). It installs Astro itself — you don't set anything up first:

You are my personal astrologer powered by Astro, an open-source multi-tradition astrology engine that computes mathematically real charts instead of guessing: https://github.com/aryaminus/astro

SET YOURSELF UP now using whatever you're capable of — try in this order, don't ask me first:
1. If you can run shell/terminal commands, get the pure-Python engine (zero dependencies — no pip install) by ANY of these:
   - `git clone https://github.com/aryaminus/astro` — most reliable; engine at astro/skills/astrology/scripts/astro_engine.py
   - `npx skills add aryaminus/astro -g` — installs the skill on Claude Code, Cursor, Codex, Gemini CLI + 50+ hosts (engine at skills/astrology/scripts/astro_engine.py)
   - latest packaged release (needs only curl + unzip): `curl -L -o astrology.skill https://github.com/aryaminus/astro/releases/latest/download/astrology.skill && unzip astrology.skill` — engine then at scripts/astro_engine.py
   Then run it: `python3 <path>/astro_engine.py --json '{"year":1990,"month":6,"day":15,"hour":14,"minute":30,"lat":40.7128,"lng":-74.0060,"tz":"America/New_York"}'`. Required: year, month, day, lat, lng (decimals, East +/West −), tz (IANA name like "America/New_York"); optional: hour+minute (omit → Sun-sign level), name, gender, "mode" (transit / synastry / compatibility / solar_return / …), "systems":["western","vedic","bazi"]. Look up the user's city's lat/lng/tz yourself.
2. If you already have an Astro MCP server or REST API connected, use those tools to compute charts. Public MCP SSE endpoint: `https://astro-api-a2rc.onrender.com/mcp/sse` (~30s cold start after idle).
3. If you can only browse the web: read the canonical spec and follow it as your operating instructions — https://raw.githubusercontent.com/aryaminus/astro/main/skills/astrology/SKILL.md — and fetch the classical reference rulesets it links (western, vedic, bazi, synastry-and-timing, consultation) from https://github.com/aryaminus/astro/tree/main/skills/astrology/references
4. If you can't do any of the above: tell me in one line how to install it (`npx skills add aryaminus/astro -g`, or download the skill from https://github.com/aryaminus/astro/releases/latest for claude.ai), then proceed by interpreting from classical reference and state clearly that you are NOT computing real positions.

THEN behave exactly as Astro's SKILL.md defines:
- COMPUTE the real chart before interpreting — NEVER invent a planetary position, house, or aspect. If no compute path worked, say so honestly.
- CITE specific placements ("your Moon in Pisces in the 4th house"); never generic statements true of everyone.
- ROUTE by question: love → synastry/compatibility; timing/career → transits; year ahead → solar return + progressions; where to live → astrocartography; auspicious dates → electional + panchang.
- TRADITIONS: Western tropical by default; Vedic (dasha/nakshatra) when I ask; Chinese BaZi (four pillars) when I ask.
- ETHICS: never predict death or guaranteed doom; give me agency; if I'm in crisis, point me to real emergency help first.

Now ask me for my birth details (date — and ideally exact time + city) and let's begin.

Local install — works on Claude Code, Cursor, Codex, Copilot, Gemini CLI, and 50+ Agent Skills hosts:

npx skills add aryaminus/astro -g

Astro skill in action

| Host | Install | Update | |------|---------|--------| | Claude Code | /plugin marketplace add aryaminus/astro then /plugin install astrology | Auto via marketplace | | Codex, Cursor, Copilot, Gemini CLI, 50+ hosts | npx skills add aryaminus/astro -g | npx skills update astrology -g | | claude.ai | Download .skill → Customize → Skills → + | Re-download | | ChatGPT | Copy openapi.yaml into Custom GPT → Actions → Import | Manual | | Poke (Messages/WhatsApp/Telegram) | Add as MCP integration → URL: https://astro-api-a2rc.onrender.com/mcp/sse | — | | Claude Desktop / Zed | npx @smithery/cli install astrology --client claude | Re-run | | Manual / dev | git clone https://github.com/aryaminus/astro.git && ln -sfn "$(pwd)/astro/skills/astrology" ~/.agents/skills/astrology | git pull |


Why this exists

A raw LLM cannot tell you where Mars was on a Tuesday in 1997 — it hallucinates chart data. Astro splits the work:

  1. Engine — deterministic Python math computes real sky positions (zero deps, pure stdlib)
  2. Skill — orchestrates the engine + loads classical interpretation rulesets
  3. Glue — MCP, REST, CLI, ChatGPT Actions reach the engine from any platform

The model never guesses a position. It interprets structured output grounded in 8 classical rulesets.

19 modes · 3 traditions · zero dependencies

Modes: natal, transit, synastry, compatibility, composite, astrocartography, horary, event, solar/lunar/planetary return, navamsa, varga (D2–D60), panchang, moon phase, numerology, progressions, planetary hours, transit-to-natal aspects. Full list and parameters in skills/astrology/SKILL.md.

Traditions: Western tropical, Vedic/Jyotisha (Lahiri sidereal), Chinese BaZi + Tibetan/Buddhist.

Auto-included in every natal chart: Aspect patterns (Grand Trine, Kite, T-Square, Grand Cross, Yod, Mystic Rectangle, Stellium) · Part of Fortune · Vertex · Black Moon Lilith · Moon phase · 10 Arabic Parts · 23 fixed-star conjunctions · Navamsa D9 · Panchang · Mangal Dosha · Kaalsarpa Dosha.

Try it

After installing, ask any of these:

  • "What's my chart?" → full natal
  • "Am I compatible with…?" → synastry + 0–100 scoring
  • "When's my Saturn return?" → planetary return + timing
  • "Where should I live for career?" → astrocartography
  • "What time should I start the meeting?" → Chaldean planetary hours
  • "Pick an auspicious wedding date" → electional + panchang
  • "Should I have surgery this month?" → medical timing
  • "What does today have in store?" → transits + natal aspects

Project layout

astro/
├── skills/astrology/
│   ├── SKILL.md                    # runtime spec the model reads
│   ├── scripts/astro_engine.py     # deterministic engine (~2930 lines)
│   ├── scripts/mcp_server.py       # MCP wrapper (18 tools, stdio + SSE)
│   ├── scripts/api.py              # REST API (31 endpoints)
│   └── references/                 # 8 classical rulesets
│       ├── western.md · vedic.md · bazi.md · tibetan.md
│       ├── health.md · synastry-and-timing.md
│       ├── specialty-systems.md · consultation.md
├── openapi.yaml                    # OpenAPI 3.1 (ChatGPT, Agentforce, Coze)
├── smithery.yaml                   # Smithery registry
├── Dockerfile · docker-compose.yml · render.yaml   # cloud deploy
└── AGENTS.md · CONTRIBUTING.md · SECURITY.md · CHANGELOG.md

Cloud hosting

Free by default. No auth, no rate limits. Set ASTRO_API_KEY to gate, ASTRO_RATE_LIMIT to throttle.

Render (one-click, free tier): Connect this repo → New → Blueprint. render.yaml provisions everything. Verify with curl https://astro-api-a2rc.onrender.com/health. Free tier spins down after 15 min idle; first request after idle takes ~30s.

Docker:

docker compose up --build    # API on :8000, docs at /docs

Raw Python:

pip install -r requirements.txt
uvicorn skills.astrology.scripts.api:app --host 0.0.0.0 --port 8000

MCP SSE (Smithery, Cloudflare, Poke):

ASTRO_MCP_TRANSPORT=sse python -m skills.astrology.scripts.mcp_server

Cloud MCP SSE (no deploy needed): https://astro-api-a2rc.onrender.com/mcp/sse — free Render instance. ~30s cold start.

Env vars and operational endpoints documented in AGENTS.md.

Documentation

| File | What it covers | |------|---------------| | AGENTS.md | Install methods, env vars, cloud config, MCP tools list | | docs/cloud-setup.md | Using Astro on any AI chat (Claude, ChatGPT, Gemini, DeepSeek, Qwen) | | skills/astrology/SKILL.md | Runtime spec, mode parameters, trust discipline | | skills/astrology/README.md | Engine internals, API surface, specialty branches | | openapi.yaml | REST API schema (ChatGPT, Agentforce, Coze) | | CHANGELOG.md | Release history | | CONTRIBUTING.md | Hard rules, dev workflow, PR checklist | | SECURITY.md | Vulnerability reporting |

Contributing

PRs welcome. Hard rules: engine stays zero-dep, engine never imports frameworks, touch all 4 surfaces (engine + MCP + REST + OpenAPI), the skill is honest. See CONTRIBUTING.md.

License

MIT. Reference texts in skills/astrology/references/ are original MIT-licensed syntheses of classical sources.

Related Skills

View on GitHub
GitHub Stars10
CategoryAI
Updated4mo ago
Forks2

Languages

Python

Trust signals

83/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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astro — MCP Server: Install & Safety Check | SkillAgent