# MOSS XiaoZhi MCP

> Use this tool when you need to integrate visual recognition and camera control into your DIY smart assistant projects, enabling cloud AI-driven capabilities with local camera functionality. It solves problems of limited camera control and visual analysis in smart assistants by bridging cloud AI with local devices via WebSocket. Ideal for use in IoT and smart home automation projects requiring enhanced visual recognition and PTZ camera control.

Canonical page: https://skillsregistry.net/skills/chenqizhi1-moss-xiaozhi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chenqizhi1-moss-xiaozhi-mcp

## Description

Provides visual recognition and PTZ camera control for DIY MOSS (ESP32) smart assistants, bridging cloud AI with local camera capabilities via WebSocket.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ki4bg7i98q)
- **Repository:** <https://github.com/chenqizhi1/moss-xiaozhi-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": "chenqizhi1-moss-xiaozhi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chenqizhi1-moss-xiaozhi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chenqizhi1-moss-xiaozhi-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