bodylog MCP Server

by abhaymettu Your server? Claim it

local only

bodylog runs on your own machine — the client starts it, so there is no endpoint to ping. 66 installs a week from pypi. Last commit 23 Sep 2026.

Agent-first workout and food log: sets and meals from chat, USDA and Open Food Facts macros, cards.

The author archived this repository on GitHub, meaning it is no longer maintained.

Installs per day peak 17 · avg 9 · +27% w/w

a month agotoday

Installs / week

pypi · bodylog

Stars

0 open issues

23 Sep 2026

Last commit

from GitHub

MIT

License

Python

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add bodylog -- uvx bodylog

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "bodylog": {
      "command": "uvx",
      "args": [
        "bodylog"
      ]
    }
  }
}

~/.codex/config.toml

[mcp_servers.bodylog]
command = "uvx"
args = ["bodylog"]

.cursor/mcp.json

{
  "mcpServers": {
    "bodylog": {
      "command": "uvx",
      "args": [
        "bodylog"
      ]
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "bodylog": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "bodylog"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: BODYLOG_DB (SQLite file for the log (default ~/.bodylog/log.db)), BODYLOG_CARDS (Directory for rendered card PNGs (default ~/.bodylog/cards)), FDC_API_KEY (USDA FoodData Central API key (free at api.data.gov); DEMO_KEY is used without one), BODYLOG_OFFLINE (Set to 1 to use only the bundled USDA table, no network lookups).

Alternatives to bodylog

same job, measured the same way

Nutrition MCP

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Sphere

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Log meals, check calories and macros, set up a nutrition plan, and search foods.

answering

Health Partner

by shrynshjn

Manage your Health Partner account, log food, water, workouts, body using agent

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Kairo

by kairocalories

Calorie tracker app for ChatGPT and Claude: read meals, macros, weight and log meals from chat.

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Ami Survey

by speedofred

Measures the cost, tokens and duration of a completed agent workflow from its session log.

130 installs/wk local only

Nexus

by kushalsm-nexus

Calorie, workout and body-weight log inside ChatGPT and Claude. Log meals by text, photo or voice.

answering

Prospre

by prospre

Log food, plan meals, fix the diary, build the grocery list and move macro targets in Prospre.

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WorkoutLog Pro

by workoutlogpro

Workout log your AI fills in: sets from text or notebook photos, daily plans, history and records.

answering

bodylog — questions

Answers built from our own checks of this server.

Why is there no uptime for bodylog?

bodylog runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package bodylog was installed 66 times last week.

Is bodylog still maintained?

The author archived this repository on GitHub, meaning it is no longer maintained. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect bodylog?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls bodylog straight from pypi; nothing to host, nothing to sign up for.

How many people use bodylog?

The pypi package bodylog was installed 66 times in the last week. Week over week that is +27%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is bodylog open source?

Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.