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Fitbit Alternative MCP. Analyze vitals and activity metrics through conversation.

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Just plug in your AI agents and start using Vinkius.

Fitbit Alternative provides direct, conversational access to your entire health history. Your AI agent reads and writes data for Active Zone Minutes, daily steps, blood glucose levels, weight logs, sleep cycles, and more—all from one API endpoint.

Stop digging through menus; just ask your agent.

What your AI agents can do

Create activity goal

Sets a new daily activity target for the user.

Create activity log

Records an activity session manually or programmatically.

Create alarm

Sets a reminder alarm for the user's account.

+ 48 more capabilities included
Review Core Activity Metrics

Get daily summaries of steps, calories burned, and distance covered using get_daily_activity_summary.

Log Manual Health Data

Create records for food intake (create_food_log), water consumption (create_water_log), sleep duration (create_sleep_log), and weight changes (create_weight_log).

Analyze Vital Sign Trends

Pull time-series data for heart rate, blood glucose, or SpO2 across specific date ranges using specialized get_* tools.

Set and Track Goals

Establish new daily activity targets with create_activity_goal, or review existing goals via get_body_goals.

Manage Personal Records

Create, update, or delete alarms and specific logs (like subscriptions or weight records) to keep your data clean.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Fitbit Alternative MCP Server: 51 Tools for Health Tracking

These tools let your AI client interact with every aspect of your health data, from logging meals to retrieving raw ECG and heart rate time series.

create019e5d1a

create activity goal

Sets a new daily activity target for the user.

create019e5d1a

create activity log

Records an activity session manually or programmatically.

create019e5d1a

create alarm

Sets a reminder alarm for the user's account.

create019e5d1a

create food log

Adds an entry detailing food consumption.

create019e5d1a

create sleep log

Records a period of sleep for tracking purposes.

create019e5d1a

create subscription

Creates a new subscription record.

create019e5d1a

create water log

Adds a log entry detailing water consumption.

create019e5d1a

create weight log

Records the user's current body weight.

delete019e5d1a

delete activity log

Removes an existing activity log entry.

delete019e5d1a

delete alarm

Deletes a previously set alarm.

delete019e5d1a

delete sleep log

Removes a sleep tracking record.

delete019e5d1a

delete subscription

Clears an old subscription entry from the records.

delete019e5d1a

delete weight log

Deletes a recorded weight log entry.

get019e5d1a

get activity intraday

Retrieves detailed activity data for a specific day.

get019e5d1a

get activity log list

Fetches a list of all recorded activities.

get019e5d1a

get activity tcx

Retrieves raw TCX data for deep performance analysis of an activity.

get019e5d1a

get alarms

Fetches a list of all active alarms set by the user.

get019e5d1a

get azm by date

Gets Active Zone Minutes data for a specified date range.

get019e5d1a

get azm by interval

Gets Active Zone Minutes data across a specific time interval.

get019e5d1a

get badges

Retrieves a list of fitness achievement badges earned by the user.

get019e5d1a

get blood glucose

Fetches blood glucose readings for specified time intervals.

get019e5d1a

get body goals

Retrieves the current body composition and weight goals set by the user.

get019e5d1a

get breathing rate by date

Gets a summary of the breathing rate for a specific date.

get019e5d1a

get breathing rate by interval

Gets a summary of the breathing rate across an interval period.

get019e5d1a

get core temperature

Retrieves core body temperature summaries for specified dates.

get019e5d1a

get daily activity summary

Gets a simple summary of the user's overall daily activity stats (steps, calories).

get019e5d1a

get devices

Retrieves a list and status of connected fitness devices.

get019e5d1a

get ecg log list

Fetches a list of recorded ECG readings.

get019e5d1a

get food log

Retrieves all past food logging entries for review.

get019e5d1a

get friends

Gets the usernames of friends connected to the account.

get019e5d1a

get friends leaderboard

Fetches the friend leaderboard ranking based on activity.

get019e5d1a

get heart rate by date

Retrieves heart rate time-series data for specific dates.

get019e5d1a

get heart rate by interval

Gets heart rate time-series data across a specified date range.

get019e5d1a

get heart rate intraday

Retrieves detailed heart rate data for an entire day's period.

get019e5d1a

get hrv by date

Gets Heart Rate Variability summary metrics for a specific date.

get019e5d1a

get hrv by interval

Gets Heart Rate Variability summary metrics across an interval period.

get019e5d1a

get irn alerts

Retrieves a list of important health alerts (IRN).

get019e5d1a

get irn profile

Gets the user's main Important Records profile data.

get019e5d1a

get profile

Retrieves basic demographic and profile information for the user.

get019e5d1a

get skin temperature

Gets skin temperature summaries across specific dates.

get019e5d1a

get sleep log by date

Retrieves detailed sleep records for a specified date.

get019e5d1a

get sleep log by interval

Gets all sleep logs across a defined time range.

get019e5d1a

get spo2 by date

Retrieves SpO2 (blood oxygen) summary metrics for specific dates.

get019e5d1a

get spo2 by interval

Gets SpO2 summary metrics across a defined time range.

get019e5d1a

get subscription list

Retrieves a list of all active subscriptions and their details.

get019e5d1a

get vo2 max

Gets the user's estimated VO2 Max score for a specific date.

get019e5d1a

get water log

Retrieves all past water logging entries.

get019e5d1a

get weight log

Retrieves all recorded weight log entries.

introspect019e5d1a

introspect token

Checks the validity and scope of the provided OAuth2 token.

update019e5d1a

update alarm

Modifies or changes a previously set alarm reminder.

update019e5d1a

update profile

Updates basic profile information, like weight goals or personal details.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
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  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Fitbit Alternative, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

Listen up. This server gives your AI agent deep access to everything you've logged—every metric, every goal, every damn alarm. You don't wanna scroll through menus; you just ask the agent, and it pulls the data straight from the source. It handles active zone minutes (get_azm_by_date, get_azm_by_interval), daily activity summaries (steps, calories), and raw performance metrics via get_activity_tcx.

You can even manually log or delete specific activities using create_activity_log or delete_activity_log, and set new targets with create_activity_goal; you'll also check your current weight and body goals by hitting up get_body_goals.

When it comes to logging stuff, the agent keeps track of your consumables. You can drop in food entries using create_food_log, or pull a full history of what you ate with get_food_log. It tracks water consumption with create_water_log and lets you review all past logs via get_water_log. For weight tracking, it records new measurements with create_weight_log, and if you mess up an entry, you can wipe it clean using delete_weight_log, while still getting every recorded weight log through get_weight_log.

Sleep is logged too; you'll create a record with create_sleep_log or delete one with delete_sleep_log; reviewing detailed sleep patterns for a specific day comes from get_sleep_log_by_date, and checking across a whole time span uses get_sleep_log_by_interval.

Monitoring your vitals is where this thing shines. It pulls continuous heart rate data across an entire day's period using get_heart_rate_intraday; you can also check trends for specific dates or intervals with specialized tools like get_heart_rate_by_date and get_heart_rate_by_interval. For SpO2 (blood oxygen), the agent gets summary metrics by date (get_spo2_by_date) or across a time range using get_spo2_by_interval.

Core body temperature summaries are available via get_core_temperature for specific dates, and skin temperature data comes from get_skin_temperature across defined periods. You can also check your estimated VO2 Max score with get_vo2_max, and pull blood glucose readings using specialized time-series functions like get_blood_glucose. Beyond those, the agent tracks Heart Rate Variability (HRV) summaries by date (get_hrv_by_date) or across intervals using get_hrv_by_interval.

Managing alerts and records is simple. You can set a new reminder alarm with create_alarm, modify an existing one with update_alarm, or wipe it out completely via delete_alarm; the agent will list all current alarms for you using get_alarms. If you need to clean up your data, you've got tools to delete old subscription records (delete_subscription) and manage overall subscriptions through create_subscription and get_subscription_list.

You can also update basic profile info—like weight goals or personal details—with update_profile, while checking what those goals are using get_body_goals.

It's not just about you. The agent checks connected devices by listing them with get_devices, and it retrieves raw ECG readings via get_ecg_log_list. For social tracking, the system gets your friend list through get_friends and pulls the current activity ranking using get_friends_leaderboard. Finally, you can keep track of important health information by retrieving alerts with get_irn_alerts, accessing your main Important Records profile data via get_irn_profile, or checking your basic user info through get_profile.

How Fitbit Alternative MCP Works

  1. 1 Subscribe to the server and enter your Fitbit Personal Access Token.
  2. 2 Your AI client sends a natural language prompt, which triggers the correct API function (e.g., get_heart_rate_by_date).
  3. 3 The agent executes the tool call, fetches the data from Fitbit, and returns the summary directly to you.

The bottom line is that your AI client talks to the server, which talks to Fitbit, so you never have to open a dashboard manually again.

Who Is Fitbit Alternative MCP For?

Anyone whose job involves reading patterns in personal health data. Think bioengineers, physical therapists, or people who just want to stop staring at their phone's workout screen. It’s for the person tired of switching between the Fitbit app and a spreadsheet.

Physical Therapist

Uses the server to track patient progress by retrieving get_activity_tcx files or monitoring trends in get_heart_rate_by_date.

Registered Dietitian

Logs and analyzes nutritional intake using create_food_log and reviewing get_body_goals to adjust patient meal plans.

Fitness Coach

Manages client progress by setting goals with create_activity_goal and generating reports on Active Zone Minutes using get_azm_by_date.

What Changes When You Connect

  • Get the full picture of your day. Instead of checking multiple dashboards, ask for a summary that includes steps, calories, and Active Zone Minutes (AZM) using get_daily_activity_summary in one call.
  • Keep track of what matters. Manually log everything from food (create_food_log) to water (create_water_log) directly through your agent, building a complete picture of lifestyle habits.
  • Analyze trends over time. Need to see how your heart rate changes during exercise? Use get_heart_rate_by_interval to pull data across days and weeks for comparison.
  • Manage your health goals proactively. Set new targets with create_activity_goal, or check if you're on track by reviewing your progress against defined body metrics using get_body_goals.
  • Clean up old data. If a log entry is wrong, don't waste time trying to find it. Use dedicated delete tools like delete_weight_log for simple cleanup.

Real-World Use Cases

01

Analyzing an Athlete’s Recovery Week

An athlete wants to check their recovery progress after a hard run. They ask the agent for 'heart rate and sleep data.' The agent calls get_sleep_log_by_interval and get_heart_rate_by_date, allowing the user to quickly spot patterns in both metrics without downloading two separate reports.

02

Tracking Chronic Conditions

A patient needs to monitor blood sugar levels. They prompt their agent, asking for 'my glucose readings from last week.' The agent executes get_blood_glucose and compiles the interval data into a readable trend report.

03

Dietary Accountability

A user wants to see if they hit their weight goal while maintaining a specific diet. They ask the agent to 'check my progress.' The agent calls get_weight_log alongside reviewing recent entries from create_food_log, giving an immediate, holistic status update.

04

Reviewing Performance Data

A coach needs raw performance data for a specific workout. Instead of using the app's export function, they ask the agent to retrieve get_activity_tcx for that date, getting granular metrics for deep analysis.

The Tradeoffs

Missing Context

Trying to manually piece together a full day's data by running 'steps list', then 'calorie summary,' and finally 'AZM.' This is slow, error-prone, and requires reading multiple reports.

Ask your agent for a single prompt like: 'Give me my activity summary and Active Zone Minutes for yesterday.' The agent handles the calls to get_daily_activity_summary AND get_azm_by_date automatically.

Ignoring Time Scope

Running a simple 'Get Heart Rate' query without specifying if you mean today, last week, or the past month. The tool call fails or returns incomplete data.

Always define your scope clearly. Use get_heart_rate_by_date for single-day views, or get_heart_rate_by_interval to span a wider time range.

Overwriting Data

Manually creating an activity log with the wrong date, thinking it will update your records. This only adds another entry and messes up historical analysis.

If you need to change or remove old data, use the explicit delete tools: delete_activity_log or delete_weight_log. Never assume a write function handles updates.

When It Fits, When It Doesn't

Use this server if your workflow requires reading and writing complex physiological metrics. This is for deep data analysis, not quick checks.

Do use it if: You need to compare historical trends (e.g., heart rate over 6 months), or you need the agent to perform a multi-step action (e.g., 'log my weight and set a new goal'). The sheer number of specialized tools means maximum data granularity is possible.

Don't use it if: You only need simple, high-level status updates (like viewing your friend's current step count). For that, a simpler social feed type tool would work. If you just want to view the basic profile details, get_profile is enough. But for anything involving logs, rates, or goals, this server is essential.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fitbit. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 51 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_activity_goal create_activity_log create_alarm create_food_log create_sleep_log create_subscription create_water_log create_weight_log delete_activity_log delete_alarm delete_sleep_log delete_subscription delete_weight_log get_activity_intraday get_activity_log_list get_activity_tcx get_alarms get_azm_by_date get_azm_by_interval get_badges get_blood_glucose get_body_goals get_breathing_rate_by_date get_breathing_rate_by_interval get_core_temperature get_daily_activity_summary get_devices get_ecg_log_list get_food_log get_friends get_friends_leaderboard get_heart_rate_by_date get_heart_rate_by_interval get_heart_rate_intraday get_hrv_by_date get_hrv_by_interval get_irn_alerts get_irn_profile get_profile get_skin_temperature get_sleep_log_by_date get_sleep_log_by_interval get_spo2_by_date get_spo2_by_interval get_subscription_list get_vo2_max get_water_log get_weight_log introspect_token update_alarm update_profile

Manually tracking and synthesizing health data takes forever.

Today, if you want a full picture of your activity—steps, calories, Active Zone Minutes—you're stuck opening the app, navigating to different tabs, and potentially copying and pasting numbers into a spreadsheet. You spend more time organizing data than analyzing it.

With this MCP server, you just tell your agent what you need: 'What was my full activity picture for Tuesday?' Your agent runs multiple tools in sequence—calling `get_daily_activity_summary` and `get_azm_by_date`—and gives you a single, cohesive answer. It saves the clicks.

Fitbit Alternative MCP Server: Manage every metric from your chat.

Forget manually creating logs or updating goals through separate screens. You can tell your agent to 'Set a new weight goal of 70kg and log my current weight.' It runs `create_weight_log` and `update_profile` in one shot.

The difference is the flow. Instead of jumping between views, you use natural conversation. Your AI client becomes the single dashboard, running every necessary tool behind the scenes.

Common Questions About Fitbit Alternative MCP

How do I get my Active Zone Minutes data using get_azm_by_date? +

Use get_azm_by_date and provide the start and end dates. This function returns a time series showing your heart-pumping activity for those specific days.

Can I log food intake using create_food_log? +

Yes. create_food_log lets you manually record meals and snacks, giving your agent the data it needs to calculate nutritional summaries over time.

What is the difference between get_activity_summary and get_daily_activity_summary? +

The get_activity_log_list function gives you a list of all logs, while get_daily_activity_summary pulls the calculated totals (steps/calories) for the current day's general overview.

How do I check my blood sugar levels with get_blood_glucose? +

You run get_blood_glucose and specify the time interval you want to analyze. It returns a detailed record of your readings over that period.

How do I check my current weight goal settings using get_body_goals? +

The tool returns your established body goals, showing both your target metric (e.g., 75kg) and your starting baseline. It provides the difference between these two numbers, telling you exactly how far off track you are from your objective.

What data format does get_activity_tcx provide? +

The tool outputs raw TCX (Training Center XML) files. This means you get highly granular performance metrics for deep analysis, perfect for data scientists who need to inspect the underlying activity telemetry.

How do I retrieve sleep logs for a specific date range using get_sleep_log_by_date? +

You receive detailed summaries including total duration, time in deep/REM stages, and overall quality scores for the specified dates. This gives you a full picture of your rest patterns beyond just wake-up times.

What information can be changed using the update_profile tool? +

You can change key user details like your name, weight unit (e.g., kg to lbs), and primary gender. Running this tool ensures that all future data entries are logged against the most accurate personal profile.

Can I check my Active Zone Minutes for a specific date range? +

Yes. You can use the get_azm_by_interval tool by providing a start and end date to see your heart rate intensity trends over that period.

Is it possible to log a workout manually through the AI? +

Absolutely. Use the create_activity_log tool. You just need to provide the activity details like ID, start time, and duration in the JSON body.

Can I monitor my weight and body fat goals? +

Yes, the get_body_goals tool allows you to retrieve your current configured goals for either 'weight' or 'fat' to keep track of your progress.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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