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Inbody API MCP

by rwestergrenversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.rwestergren/inbody-api-mcp

Install

Overview

Description from the maker (original English)

MCP server for InBody body-composition data — scans, body fat, muscle mass, body water

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: INBODY_LOGIN_ID, INBODY_LOGIN_PW

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: INBODY_LOGIN_ID, INBODY_LOGIN_PW, INBODY_COUNTRY_CODE

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "inbody-api": {
      "command": "uvx",
      "args": [
        "inbody-api-mcp"
      ],
      "env": {
        "INBODY_LOGIN_ID": "your-value",
        "INBODY_LOGIN_PW": "your-value",
        "INBODY_COUNTRY_CODE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add inbody-api --env INBODY_LOGIN_ID=your-value --env INBODY_LOGIN_PW=your-value --env INBODY_COUNTRY_CODE=your-value -- uvx inbody-api-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "inbody-api": {
      "command": "uvx",
      "args": [
        "inbody-api-mcp"
      ],
      "env": {
        "INBODY_LOGIN_ID": "your-value",
        "INBODY_LOGIN_PW": "your-value",
        "INBODY_COUNTRY_CODE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "inbody-api": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "inbody-api-mcp"
      ],
      "env": {
        "INBODY_LOGIN_ID": "your-value",
        "INBODY_LOGIN_PW": "your-value",
        "INBODY_COUNTRY_CODE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • INBODY_LOGIN_ID required env
    The phone number used to register your InBody account (digits only, no country code).
  • INBODY_LOGIN_PW secret required env
    Your InBody account password
  • INBODY_COUNTRY_CODE env
    ISO country code selecting the regional API host (defaults to US).

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account rwestergren, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32583 servers in this category
  • Published to the registry more recently than 13% of the other 32583 servers in this category
  • Basic checks equal to or better than 100% of the other 32583 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Inbody API MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: INBODY_LOGIN_ID, INBODY_LOGIN_PW

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, sync. labs

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

inbody-api-mcp

Hosted version for Claude.ai, ChatGPT, and Grok coming soon. Join the waitlist →

An MCP (Model Context Protocol) server for InBody body-composition data, built on the reverse-engineered mobile REST API used by the InBody Android app.

InBody has no public API and no web UI for personal scan data. This server talks to the same JSON REST endpoints the mobile app uses, exposing your body composition history (body fat, muscle mass, body water, segmental impedance) to any MCP client.

Features

  • Profile -- identity and baseline metrics (height, weight, age, gender)
  • Scan history -- chronological summaries (weight, BMI, % body fat, muscle mass)
  • Full scan metrics -- complete body composition (BCA), BMI/%fat/muscle with normal ranges (MFA), and segmental/multi-frequency impedance (IMP)
  • Automatic region routing -- resolves the correct regional API host from your country code
  • Automatic re-authentication -- caches the 24h JWT and re-logs in on expiry

Quick Start

1. Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
2. Set credentials
export INBODY_LOGIN_ID="3026323617"   # registration phone number, digits only

export INBODY_LOGIN_PW="your-password" export INBODY_COUNTRY_CODE="US" # ISO country code (default US)

`INBODY_LOGIN_ID` is the phone number used at registration, not your email

-- digits only, no country code or + (e.g. 3026323617). InBody keys login

on the phone number; the email is only returned as profile data. An email

value will fail login with EmptyData.

3. Configure your MCP client

uvx downloads and runs the server on demand -- no separate install step.

OpenCode (opencode.json)
{

"$schema": "https://opencode.ai/config.json", "mcp": { "inbody": { "type": "local", "command": ["uvx", "inbody-api-mcp"], "environment": { "INBODY_LOGIN_ID": "{env:INBODY_LOGIN_ID}", "INBODY_LOGIN_PW": "{env:INBODY_LOGIN_PW}", "INBODY_COUNTRY_CODE": "US" }, "enabled": true } } }

Claude Desktop (claude_desktop_config.json)
{

"mcpServers": { "inbody": { "command": "uvx", "args": ["inbody-api-mcp"], "env": { "INBODY_LOGIN_ID": "3026323617", "INBODY_LOGIN_PW": "your-password", "INBODY_COUNTRY_CODE": "US" } } } }

Available Tools

ToolDescription
get_profileUser identity and baseline metrics (height, weight, age, gender)
get_scan_countTotal number of scans on the account
list_scansChronological scan summaries (weight, BMI, % body fat, muscle mass)
get_scanFull metric set for one scan (BCA / MFA / IMP blocks)

This server is read-only: no write or delete endpoints are exposed.

How It Works

This server communicates with the regional *.lookinbody.com REST API -- the same backend used by the InBody Android app (v2.8.31). The API was reverse-engineered by capturing app traffic with mitmproxy and confirming payload shapes against the live API.

The auth flow:

  1. POST /CommonAPI/GetCountryInfoV2 (on appapicommon.lookinbody.com) returns a per-country host table. The Type == "API" row for your ISO country code gives the regional API base (US -> appapiusav2.lookinbody.com) and the numeric phone code used in request bodies.
  2. POST /V2/Main/GetLoginWithSyncDataPartV2 exchanges the login ID + password for a 24-hour JWT, a refresh token, and the account UID.
  3. Subsequent calls send Authorization: Bearer . The client re-authenticates automatically when the token expires.

Each scan record nests three blocks: BCA (body composition analysis -- body water, protein, mineral, fat, segmental water), MFA (BMI, % body fat, skeletal muscle mass, WHR with normal ranges), and IMP (raw impedance per frequency and body segment).

Python API

You can use the client directly:

from inbody_api_mcp.client import InBodyClient

client = InBodyClient()

Total number of scans

count = client.get_scan_count()

Recent scans (newest first), paginated

scans = client.get_scans(number=20, index=0)

User profile

profile = client.get_user_info()

Transport

stdio only. MCP clients (OpenCode, Claude Desktop) spawn the stdio process directly via uvx/uv.

License

MIT

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