# Wellness Project MCP

> Wellness Project MCP — turnnoblindeye-wellness-project-mcp. Use this tool when you need to integrate and analyze health data from various sources, such as Apple Health, Fitbit, and Google Health Connect, to track workouts, sleep, nutrition, and recovery. It solves problems of data fragmentation and provides a unified interface for AI agents like Claude and ChatGPT to query health data in plain English. The tool takes in health data from connected devices and outputs interactive charts and plain-language responses to user queries.

Canonical page: https://skillsregistry.net/skills/turnnoblindeye-wellness-project-mcp  
JSON: https://api.skillsregistry.net/v1/skills/turnnoblindeye-wellness-project-mcp

## Description

Hosted MCP server that syncs health data from Apple Health, Fitbit, Oura, and Google Health Connect, enabling Claude and ChatGPT to query workouts, sleep, nutrition, and recovery in plain English with interactive charts.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pl9y0oj5el)
- **Repository:** <https://github.com/turnnoblindeye/wellness-project-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": "turnnoblindeye-wellness-project-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/turnnoblindeye-wellness-project-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/turnnoblindeye-wellness-project-mcp/pull`

---
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