Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Description from the maker (original English)
Fueling & recovery decision engine combining MacroFactor nutrition with Garmin training data
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
MACROFACTOR_DB_PATH, MACROFACTOR_DATA_DIR, GARMINTOKENSYou need
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": {
"macrofactor": {
"command": "uvx",
"args": [
"macrofactor-mcp"
],
"env": {
"MACROFACTOR_DB_PATH": "your-value",
"MACROFACTOR_DATA_DIR": "your-value",
"GARMINTOKENS": "your-value"
}
}
}
}Run this in your terminal
claude mcp add macrofactor --env MACROFACTOR_DB_PATH=your-value --env MACROFACTOR_DATA_DIR=your-value --env GARMINTOKENS=your-value -- uvx macrofactor-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"macrofactor": {
"command": "uvx",
"args": [
"macrofactor-mcp"
],
"env": {
"MACROFACTOR_DB_PATH": "your-value",
"MACROFACTOR_DATA_DIR": "your-value",
"GARMINTOKENS": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"macrofactor": {
"type": "stdio",
"command": "uvx",
"args": [
"macrofactor-mcp"
],
"env": {
"MACROFACTOR_DB_PATH": "your-value",
"MACROFACTOR_DATA_DIR": "your-value",
"GARMINTOKENS": "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.
MACROFACTOR_DB_PATH envMACROFACTOR_DATA_DIR envGARMINTOKENS envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 8, 2026
The registry name was verified with the GitHub account NasserAlbusaidi, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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.
Am I recovered? Did my fueling work? What should change next week? The only MCP combining MacroFactor nutrition with Garmin training data.
MacroFactor MCP is a local Fueling & Recovery Decision Engine. Give your MCP client a MacroFactor export, optionally add Garmin, and ask for a decision instead of manually comparing nutrition, sleep, body, and training screens.
Install uv, then confirm the packaged server starts:
uvx macrofactor-mcp
Export your data from MacroFactor, put the .xlsx file in one local directory, and add this to your MCP client configuration. Use absolute paths.
{
"mcpServers": { "macrofactor": { "command": "uvx", "args": ["macrofactor-mcp"], "env": { "MACROFACTOR_DATA_DIR": "/absolute/path/to/macrofactor-exports", "MACROFACTOR_DB_PATH": "/absolute/path/to/macrofactor.duckdb" } } } }
Restart the MCP client. The server imports new workbooks on startup. Run setup_check, then ask one of the questions below. If a desktop client cannot find uvx, replace "uvx" with the absolute path returned by which uvx.
All examples below use synthetic data.
recovery_check — Am I recovered?Combines last night's sleep, HRV, body battery, training load, and yesterday's fueling into a readiness view.
Recovery Check: 2026-07-08
Sleep: 7h 38m, score 82; HRV +4 vs 7-day average Training load: ACWR 1.08 (optimal) Yesterday: 96% calorie target; 101% protein target Overall: All systems go — 4 positive signals.
daily_briefing — What do today's signals say together?Shows the day as one picture instead of separate nutrition and training logs.
Daily Briefing: 2026-07-08
Intake: 2,340 kcal (P 171g / F 72g / C 248g) Adherence: 98% calories | 101% protein Body Battery: 28 → 83 | Sleep: 7h 38m, score 82 Training: Productive | Load 612/568 (ACWR 1.08)
weekly_report — What should change next week?Reviews seven days of nutrition, weight, workouts, sleep, and training load.
Weekly Report: 2026-07-02 to 2026-07-08
Average: 2,315 kcal | 168g protein On target: calories 6/7 days | protein 7/7 days Training: 4 sessions | Sleep: 7h 26m average Next-week signal: fueling was consistent; protect sleep before adding load.
nutrition_performance_correlation — Did my fueling work?Compares nutrition with next-day Garmin recovery signals. It reports sample sizes so small or missing datasets stay visible.
Nutrition → Performance Correlation: 28 paired days
Protein >=90% target: next-day HRV 51 vs 45 (+6) Protein >=90% target: sleep score 81 vs 76 (+5) Energy deficit days: body battery 68 vs 75 (-7) Observation: higher-protein days tended to precede better recovery.
| Mode | Decisions available |
|---|---|
| MacroFactor only | Nutrition, weight, workouts, daily_briefing, and weekly_report. Recovery output uses the nutrition signals that exist. |
| MacroFactor + Garmin | All four flagship workflows, including sleep, HRV, body battery, activities, and training load. |
Garmin is optional. To enable it, point GARMINTOKENS at an existing local Garth/Garmin token directory, then run sync_garmin.
Raw nutrition, body, workout, and Garmin data stays in the local DuckDB database. The server does not upload that database. However, MCP tool results are sent to whatever model or client the server is connected to. Review that client's data policy and avoid requesting more detail than you want to share.
This is an unofficial project. It is not affiliated with, endorsed by, or supported by MacroFactor or Stronger By Science. It is not medical advice and must not replace care from a qualified health professional.
Released under the MIT License.
mcp-name: io.github.NasserAlbusaidi/macrofactor-mcp