Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

mifit

by Jenweinversion 0.4.0i★ –iRuns on your computer
Registry nameio.github.Jenwein/mifit

Install

Overview

Description from the maker (original English)

Read-only access to your own Mi Fitness (Xiaomi) data: sleep, heart rate, steps, workouts

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.

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).
  • The registry lists no key to fill in.

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": {
    "mifit": {
      "command": "uvx",
      "args": [
        "mifit",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mifit -- uvx mifit mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "mifit": {
      "command": "uvx",
      "args": [
        "mifit",
        "mcp"
      ]
    }
  }
}

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": {
    "mifit": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mifit",
        "mcp"
      ]
    }
  }
}

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.

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 Jenwein, 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 Clinics & healthi

  • More stars than 0% of the other 870 servers in this category
  • Published to the registry more recently than 73% of the other 870 servers in this category
  • Basic checks equal to or better than 100% of the other 870 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 mifit 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.4.0) reached the registry 9 days 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: Mirobody, FHIR MCP Server, Google Health MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Mirobody

by thetahealth

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

Runs on your computer★ 1,408Apache-2.0Updated 6 days ago
Install

MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications

Runs on your computer★ 137Apache-2.0Updated 9 days ago
Install

Google Health MCP

by davidmosiah

Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents

Runs on your computer★ 79MITUpdated 4 months ago
Install

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.

mifit

Read your own Mi Fitness (小米运动健康) data from the Xiaomi cloud: a small Python library, a command-line tool and an MCP server for AI assistants.

The Mi Fitness app syncs your steps, heart rate, sleep and more to the Xiaomi cloud, but Xiaomi offers no public API for individuals. mifit signs in to your own account by QR code, reads that synced data and returns it as JSON or as Python objects, so you can build on it.

Unofficial. Not affiliated with, endorsed by or supported by Xiaomi.

See Disclaimer.

What it reads today

DomainWhat you getrecords typeChecked against the app
stepssteps and distance per dayStepRecordyes
heart_rateraw heart-rate samplesHeartRatePointyes
heart_rate_dailyheart rate per day: average, maximum, minimum, restingHeartRateDailySummaryyes
consumptioncalories per day: resting, active, intake, totalConsumptionRecordyes
sleepsleep per day: totals, stage minutes, sessions with their stage timelineSleepRecord → SleepSession → SleepStageyes; the sleep score could not be checked and is in raw only
workoutsone entry per workout: start and end, sport, duration, distance, active and total calories, average and maximum heart rate, stepsWorkoutyes
workout_detailper workout (outdoor runs and rides): per-second samples (heart rate, cumulative distance and steps, cadence, pace or speed) and the GPS trackWorkoutDetail → WorkoutSample / TrackPointyes (one outdoor run, one ride); altitude is in raw only: the run's was a few metres off the app's
spo2_dailyblood oxygen (SpO2) per day: average, maximum, minimumSpo2DailySummaryyes
spo2raw SpO2 readingsSpo2Pointyes
stress_dailystress level per day: average, highest, lowest, and minutes in each stress band (relaxed, mild, moderate, severe)StressDailySummaryyes
activity_dailyactivity per day, as on the app's 活力指标 page: activity count (活动次数), activity minutes (活动时长), active calories (卡路里)ActivityDailySummaryyes
weightweight entries: time, weight, BMI (body composition in raw only)WeightRecordyes; body composition could not be checked and is in raw only
profile (its own command: mifit profile)height, weight, daily step, calorie and activity-time goalsUserProfileyes
raw (CLI: mifit raw; Python: client.raw, raw_window, daily_report)the rows of any fitness-data or daily-report key, as the service sends themnone: the service's rows, uninterpretednot applicable: nothing is interpreted

"Checked against the app" means the values were compared with what the Mi Fitness app shows, on one real account (China region, UTC+8). More is planned. Meanwhile, mifit raw (in Python raw_window and daily_report) returns the rows of any other key of the fitness-data or (with --daily) daily-report endpoint, uninterpreted.

What changed in each version, breaking changes included, is in CHANGELOG.md.

Install

Requires Python 3.12 or later; uv installs one for you if needed.

uv tool install mifit     # recommended: its own environment, `mifit` on your PATH

pipx install mifit # the same, with pipx pip install mifit # into the current environment, to use it as a library

Upgrade: uv tool upgrade mifit (or pipx upgrade mifit, pip install -U mifit).

Log in

mifit login

A QR code is drawn in the terminal, with the login URL below it. Scan it with the Xiaomi / Mi Fitness app on your phone (or open the URL) and approve the sign-in. Your password never passes through mifit.

The session is saved to ~/.mifit/session.json (on Windows %USERPROFILE%\.mifit\session.json). It grants access to your Mi Fitness account's health data (not only reading). It also holds your account's passToken, which mifit uses to renew the session when it expires. The passToken is account-level: it can obtain tokens for any Xiaomi service, so the file grants access to your whole Xiaomi account, not just your Mi Fitness health data, and it stays useful long after the session token itself has expired. Treat it like a password, and do not share it or commit it. On Linux and macOS the file is readable by you only; on Windows it relies on your user profile's permissions.

If Xiaomi asks for an extra security confirmation, mifit login prints a URL: open it, confirm, then run mifit login again.

Use with an AI assistant (MCP)

mifit mcp is a Model Context Protocol server: AI assistants such as Claude Desktop, Claude Code, Cursor and VS Code start it on your computer and read your Mi Fitness data when you ask them about it ("how did I sleep last week?").

What leaves your computer. The results of the tools the assistant calls are sent to the assistant's model provider, like the rest of the conversation. The login stays in ~/.mifit on this computer: the server runs locally on stdin/stdout, opens no network port, never puts a credential in a result, and only reads your health data (the login tools save the new session to ~/.mifit). GPS tracks are off: the server gives a workout's route only when it was started with --allow-gps (in the Claude Desktop extension: when its Allow GPS tracks switch is on) *and* the assistant asks for it, and a route shows where you were, including where you live. (To serve assistants on other machines instead, see Remote access (HTTP): that server does open a port.)

Log in once, in a terminal:

uvx mifit login

(or mifit login after uv tool install mifit). Without a terminal, ask the assistant to log you in: it calls login_start, which returns the QR code to scan with the Xiaomi or Mi Fitness app.

Add the server to your assistant. uvx (part of uv) downloads and runs mifit when needed:

claude mcp add --scope user mifit -- uvx mifit mcp
// Claude Desktop: %APPDATA%\Claude\claude_desktop_config.json

// (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json) {"mcpServers": {"mifit": {"command": "uvx", "args": ["mifit", "mcp"]}}}

// Cursor: ~/.cursor/mcp.json {"mcpServers": {"mifit": {"type": "stdio", "command": "uvx", "args": ["mifit", "mcp"]}}}

// VS Code: .vscode/mcp.json {"servers": {"mifit": {"command": "uvx", "args": ["mifit", "mcp"]}}}

After uv tool install mifit, the command can be mifit with the argument mcp instead. To allow GPS tracks, add --allow-gps after mcp (["mifit", "mcp", "--allow-gps"]).

mifit is also listed in the official MCP Registry as io.github.Jenwein/mifit, for clients that install servers from it.

Claude Desktop, in one click. Download mifit- .mcpb from the latest release and open it (or install it from Claude Desktop's Settings → Extensions): Claude Desktop (Windows, macOS) offers to install the extension. Its settings have an Allow GPS tracks switch, off by default. The extension runs the mifit release it came with: to update, install the .mcpb of the new release. Use either the extension or the JSON config above, not both.

Tools. Each reads one kind of data; dates are local calendar days.

ToolWhat it readsPer call
get_statustoday's date, the time zone, the login state, the GPS setting (nothing from the cloud)—
get_stepssteps and distance per day92 days
get_caloriescalories per day: resting, active, intake, total31 days
get_activityactivity count, minutes and calories per day92 days
get_heart_rate_dailyheart rate per day: average, maximum, minimum, resting92 days
get_sleepsleep per day with its sessions; stage timelines on request92 days (7 with stages)
get_spo2_dailyblood oxygen per day92 days
get_stress_dailystress level per day and the minutes in each stress band92 days
get_weightweighings92 days
get_workoutsworkouts92 days
get_heart_rateheart-rate samples, in buckets beyond 5007 days
get_spo2blood-oxygen readings, in buckets beyond 5007 days
get_workout_detailone workout's per-second samples (outdoor runs and rides), and its GPS track with --allow-gps (the extension: with Allow GPS tracks on)one workout, ≤ 500 rows
get_profileheight, weight and daily goals—
login_startlog in by QR code (returns the code)—
login_statushow that login stands—

Results are the records of the Python API with local times (2026-10-07T23:12:00+08:00) instead of Unix seconds, never raw. Dense data is cut down to at most 500 rows and the notes say how. A result is kept for five minutes, so asking again sends no new requests.

Ask in your own words; the assistant picks the tools. For example: "Did my resting heart rate go up this month?"

Remote access (HTTP)

mifit mcp --transport http runs the same server as a long-running service on streamable HTTP, so assistants on other machines can use it. Run it on the machine that keeps the login, such as a home server on your Tailscale or Headscale tailnet:

uv tool install mifit

mifit login # once, on the server: the session is saved in the server's ~/.mifit mifit mcp --transport http --host 100.64.0.5 --port 8766 --allowed-host mifit.ts.internal:8766

  • --host ADDRESS: the address to listen on. The default, 127.0.0.1, serves this machine only; give the server's tailnet address to serve the tailnet. 0.0.0.0 listens on every interface.
  • --port PORT: default 8766. --path PATH: the endpoint, default /mcp.
  • --allowed-host HOST[:PORT]: a Host header to accept. The server answers only requests whose Host header it knows, and refuses the others with HTTP 421 (the MCP SDK's DNS rebinding protection, always on). It knows 127.0.0.1, localhost and [::1] (any port) when it listens on loopback or on every interface, and its --host address with the port otherwise. Add each name the clients connect by, as they send it: mifit.ts.internal:8766, or mifit.ts.internal:* for any port. Repeat the option for more names.
  • --allow-gps works as it does on stdio.

Dates and local times are counted in the server's time zone. If it is not yours, start the server with yours, such as TZ=Asia/Shanghai (in the systemd unit below, its Environment= line).

At startup the server prints its URL and the Host headers it accepts on standard error. Then add it to each assistant by its URL:

claude mcp add --scope user --transport http mifit http://mifit.ts.internal:8766/mcp

codex mcp add mifit --url http://mifit.ts.internal:8766/mcp

Other clients take the URL as a streamable HTTP (http) server. To log in without a terminal on the server, ask the assistant: login_start returns the QR code in the tool result, nothing opens on the server's screen, and the session is saved on the server. If Xiaomi asks for a security confirmation, run mifit login in a terminal on the server (over SSH, say) and follow it.

Security. The HTTP server has no authentication. Anyone who can reach its port can read your Mi Fitness data through it, and can start a login that replaces you

Only the beginning is shown; read the rest in the repo

Ask PopNx