# OpenCrane

> Use this tool when you need to build a documentation search pipeline that can fetch, index, and retrieve content from GitHub repositories. OpenCrane solves the problem of making product documentation and guidelines searchable through semantic, keyword, or hybrid modes, and accepts inputs such as CRD definitions, OpenAPI specs, and JSON Schema content types. It provides a CLI interface for running the pipeline and outputs searchable documentation via a Milvus vector database.

Canonical page: https://skillsregistry.net/skills/derberg-opencrane  
JSON: https://api.skillsregistry.net/v1/skills/derberg-opencrane

## Description

OpenCrane is a standalone Python library for building documentation search pipelines. It fetches documentation from GitHub repositories, chunks and embeds content, indexes it in a Milvus vector database, and exposes search tools for product docs and guidelines via semantic, keyword, or hybrid retrieval modes. The library includes a CLI for running the full pipeline from fetching to indexing, with support for CRD definitions, OpenAPI specs, and JSON Schema content types.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/derberg-opencrane)
- **Repository:** <https://github.com/derberg/opencrane>

## 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": "derberg-opencrane"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/derberg-opencrane` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/derberg-opencrane/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