# Moveat

> Moveat — app-wemoveat-moveat. Use this tool when you need to streamline client management and tracking as a fitness coach, solving problems such as disorganized client data and ineffective progress monitoring. Moveat takes inputs like client check-ins, weight trends, and diet information, and outputs a comprehensive overview of client progress and program effectiveness. It provides a centralized interface for coaches to efficiently manage client relationships and make data-driven decisions.

Canonical page: https://skillsregistry.net/skills/app-wemoveat-moveat  
JSON: https://api.skillsregistry.net/v1/skills/app-wemoveat-moveat

## Description

Coaching app for fitness coaches: read client check-ins, weight trends, diets and programs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.wemoveat%2Fmoveat)

## Use it

MCP endpoint published by the skill: `https://wemoveat.app/api/mcp`

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": "app-wemoveat-moveat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-wemoveat-moveat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-wemoveat-moveat/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