# tymewear-mcp

> Use this tool when you need to analyze ventilatory data and optimize training performance. It connects Claude to Tyme Wear's breathing sensor platform, solving problems related to activity tracking, threshold detection, and training zone identification. The tool accepts breathing sensor data as input and outputs actionable insights on activities, thresholds, and training zones.

Canonical page: https://skillsregistry.net/skills/tkelkermans-tymewear-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tkelkermans-tymewear-mcp

## Description

Connects Claude to Tyme Wear's breathing sensor platform to analyze ventilatory data, activities, thresholds, and training zones.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ucd22kg209)
- **Repository:** <https://github.com/tkelkermans/tymewear-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": "tkelkermans-tymewear-mcp"
    }
  }
}
```

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