# inbody-api-mcp

> Use this tool when you need to retrieve detailed body composition data, including user profiles and scan history, to analyze health metrics or track progress over time. It solves problems related to accessing and managing InBody data, providing a comprehensive interface for MCP tools. The inbody-api-mcp tool takes user credentials and query parameters as input and outputs full metrics and scan history data.

Canonical page: https://skillsregistry.net/skills/rwestergren-inbody-api-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rwestergren-inbody-api-mcp

## Description

Enables retrieval of InBody body composition data including profile, scan history, and full metrics via MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/weott4u73o)
- **Repository:** <https://github.com/rwestergren/inbody-api-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": "rwestergren-inbody-api-mcp"
    }
  }
}
```

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