技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
davidmosiah/astral-mcp

davidmosiah/astral-mcp

Astrology tools for natal charts, current
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add astral-mcp -- npx -y astral-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · davidmosiah/astral-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 davidmosiah/astral-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Astral MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Give your AI agent real astrology — natal charts, transits, synastry & moon phases.
Computed locally, cross-checked by two independent ephemerides . No API key, no account.
> ⚡ **Zero-setup install.** Wire it into Claude Desktop / Cursor / Hermes and call it immediately — no API key, no OAuth, no account:
> npx -y astral-mcp
**A local-first MCP server that turns birth data into a full, precision-audited astrological reading for AI agents.** Stateless and computational — nothing is stored, no credentials exist, and every tool but optional geocoding runs fully offline.
Astral MCP is Delx's focused astrology product. See the Delx platform map for its boundary with the separate Protocol, Security, Wellness and Commerce properties.
Built by David Mosiah. The astrology engine is ported from the Alkhemia app.
New to the protocol pattern? Read **What Is an Astrology MCP Server?** for the separation between deterministic chart computation and model interpretation, the recommended agent workflow, and the precision/privacy boundaries.
Ready to calculate one? Follow **How to Generate a Natal Chart with MCP** for the exact birthplace, timezone, unknown birth-time, payload and precision-audit workflow.
Handling sensitive inputs? Read **How to Protect Birth Data in Astrology Agent Workflows** for payload minimization, local computation, the optional OpenStreetMap boundary and the limits of privacy_mode=summary.
Why this exists
Most astrology libraries are fragile single-engine wrappers, and most "astrology APIs" want a key and a subscription. Agents need something they can trust and call instantly. Astral MCP does two things differently:
1. **It just works.** npx -y astral-mcp and you're calling charts — no OAuth, no account, no birthplace database to install.
2. **It checks itself.** Every natal chart is computed with one ephemeris and then independently re-derived, planet by planet, with a second one. If they disagree beyond a tight tolerance, the chart is flagged review instead of silently returning a wrong placement.
Setup in 60 seconds
Add it to your MCP client (Claude Desktop, Cursor, Hermes, …):
That's the whole setup. There is nothing to authenticate.
Run it directly if you want:
See it before you connect
Call **astral_demo** for a fully-worked example chart (Greenwich, noon, Y2K) including its precision audit — no input, no network, no auth. It shows you the exact payload shape before you send real birth data.
Try it with your agent
> "What's my natal chart? I was born 23 Feb 1989, 14:30, in Fortaleza, Brazil."
The agent calls astral_search_birthplace to resolve Fortaleza → lat/lon/timezone, then astral_compute_natal_chart.
> "Any big transits hitting my chart this week?" → astral_current_transits
> "How compatible are we?" (two birth datas) → astral_synastry
> "What phase is the moon in today?" → astral_moon_phase
Precision
Astral MCP ships every natal chart with a precision audit. The primary engine (circular-natal-horoscope-js) computes the chart; the verifier (astronomy-engine) re-derives each planet's ecliptic longitude independently. A chart is verified only when every planet agrees within tolerance and lands in the same sign.
Across a built-in accuracy suite of charts spanning 1945–2010 and six timezones, the **worst cross-engine disagreement is under 0.01°**. Run it yourself:
来源
awesome · https://github.com/davidmosiah/astral-mcp
按领域浏览
MCP 服务
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引