# xiaozhi-mcp-bridge-template

> xiaozhi-mcp-bridge-template — kamilersz-xiaozhi-mcp-bridge-template. Use this tool when you need to integrate AI models with ESP32 devices, enabling interactions and leveraging built-in tools for tasks like web search, note management, and calculations. It solves problems related to device-AI communication, providing a bridge for seamless interaction and custom tool development. The tool accepts AI model inputs and outputs device-compatible commands, ideal for use cases requiring intelligent device control and automation.

Canonical page: https://skillsregistry.net/skills/kamilersz-xiaozhi-mcp-bridge-template  
JSON: https://api.skillsregistry.net/v1/skills/kamilersz-xiaozhi-mcp-bridge-template

## Description

This MCP server enables AI models to interact with ESP32 devices, providing built-in tools for web search, note management, calculator, and custom tools like todo lists and timers.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wm18ckjn1v)
- **Repository:** <https://github.com/kamilersz/xiaozhi-mcp-bridge-template>

## 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": "kamilersz-xiaozhi-mcp-bridge-template"
    }
  }
}
```

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