# arvo-mcp

> Use this tool when you need to manage and track your fitness data, including workout history and body progress, through a centralized server with read/write access to 29 fitness tools. It solves problems of data fragmentation and limited accessibility by providing a unified interface for users to monitor their training data. Accessible through Claude Desktop and other MCP clients, it is ideal for individuals seeking to streamline their fitness tracking and analysis.

Canonical page: https://skillsregistry.net/skills/khaoss85-arvo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/khaoss85-arvo-mcp

## Description

Official MCP server for Arvo - AI workout coach. Access your training data, workout history, personal records, and body progress through Claude Desktop and other MCP clients. 29 fitness tools with read/write access.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/khaoss85/arvo-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": "khaoss85-arvo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khaoss85-arvo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khaoss85-arvo-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