# Bevy Docs Search

> Use this tool when you need to integrate semantic search capabilities for Bevy game engine documentation into AI coding assistants. It converts HTML documentation to Markdown and embeds it into a Milvus vector database, allowing for meaning-based search and retrieval of relevant documentation sections. This enables AI assistants to provide accurate and context-aware access to Bevy framework documentation.

Canonical page: https://skillsregistry.net/skills/aojiaoxiaolinlin-bevy-docs  
JSON: https://api.skillsregistry.net/v1/skills/aojiaoxiaolinlin-bevy-docs

## Description

Processes Bevy game engine documentation from docs.rs, converting HTML to Markdown and embedding content into a Milvus vector database. Provides semantic search capabilities through MCP, enabling AI assistants to retrieve relevant documentation sections based on meaning rather than keyword matching. Designed for integration with AI coding assistants to provide accurate, context-aware access to Bevy framework documentation.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aojiaoxiaolinlin-bevy-docs)
- **Repository:** <https://github.com/aojiaoxiaolinlin/docs_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": "aojiaoxiaolinlin-bevy-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aojiaoxiaolinlin-bevy-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aojiaoxiaolinlin-bevy-docs/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
