# astrolabe-mcp

> astrolabe-mcp — zebrr-astrolabe-mcp. Use this tool when you need to unify access to multiple projects and documentation sources, enabling seamless search and navigation across them. The astrolabe-mcp tool solves the problem of fragmented knowledge by providing a transparent knowledge layer through the Model Context Protocol (MCP). It accepts connections from various MCP-compatible clients and outputs unified search results, ideal for use in multi-project environments with diverse documentation needs.

Canonical page: https://skillsregistry.net/skills/zebrr-astrolabe-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zebrr-astrolabe-mcp

## Description

A transparent knowledge layer across multiple projects via the Model Context Protocol (MCP). Any agent — Claude Code, Claude Desktop, or any MCP-compatible client — connects and gets unified search and navigation across all your documentation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/zebrr/astrolabe-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": "zebrr-astrolabe-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zebrr-astrolabe-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zebrr-astrolabe-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