# miband-mcp

> miband-mcp — chenxidawn-miband-mcp. Use this tool when you need to access and analyze Xiaomi Mi Band health data, such as steps, sleep, and heart rate, to answer natural language questions about daily activity. It solves problems related to querying and understanding wearable device data by providing a interface to Gadgetbridge SQLite exports via the MCP protocol. This tool is ideal for use cases where AI agents require insight into user health and fitness metrics.

Canonical page: https://skillsregistry.net/skills/chenxidawn-miband-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chenxidawn-miband-mcp

## Description

Enables AI to query Xiaomi Mi Band health data (steps, sleep, heart rate) from Gadgetbridge SQLite exports via the MCP protocol, allowing natural language questions about daily activity.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ctn58f268i)
- **Repository:** <https://github.com/ChenxiDawn/miband-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": "chenxidawn-miband-mcp"
    }
  }
}
```

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