# astro-cosmic-weather-mcp

> astro-cosmic-weather-mcp — ncreighton-astro-cosmic-weather-mcp. Use this tool when you need to provide accurate and up-to-date astronomical information, such as moon phases and zodiac transits, to answer user queries about cosmic weather. It solves problems related to calculating celestial events and providing real-time data through the Moon Ritual Library API. The tool takes queries as input and outputs server-computed calculations, making it ideal for use in chatbots and virtual assistants that require reliable astronomical data.

Canonical page: https://skillsregistry.net/skills/ncreighton-astro-cosmic-weather-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ncreighton-astro-cosmic-weather-mcp

## Description

An MCP server that provides live astronomical ephemeris data (moon phases, zodiac transits, Mercury retrogrades, sabbats, and more) via the Moon Ritual Library API, enabling Claude and other agents to answer cosmic-weather questions with accurate, server-computed calculations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qubn1vrs8r)
- **Repository:** <https://github.com/ncreighton/astro-cosmic-weather-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ncreighton-astro-cosmic-weather-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ncreighton-astro-cosmic-weather-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ncreighton-astro-cosmic-weather-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt