Withings MCP. Analyze your body’s numbers, instantly.
Withings MCP connects your AI agent directly to health and fitness data from Withings devices, including smart scales, watches, and medical monitors. Pull detailed records on weight trends, body fat percentage, blood pressure (systolic/diastolic), heart rate variability, sleep cycles, and workout logs. You can also set up instant webhooks for alerts when new readings are recorded.
Give Claude and any AI agent real-world access
Check how metrics like weight, blood pressure, or body fat change over weeks or months.
Get a breakdown of your sleep stages (deep, light, REM) and overall daily sleep scores.
Analyze cumulative step counts, active calories burned, and high-frequency movement patterns throughout the day.
Pull comprehensive details on specific recorded workouts, including distance, duration, and calorie expenditure for running or swimming sessions.
Configure the system to send immediate notifications whenever a new measurement (like a morning weigh-in) is completed.
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What AI agents can do with Withings: 10 Tools for Biometric Data Management
These tools give you direct access to every piece of data—from activity counts to detailed blood pressure readings—allowing your agent to build comprehensive health profiles.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Withings MCPGet Activity
Pulls a daily summary of steps and total calories burned.
Get Heart Rate
Retrieves specific heart rate measurements taken at certain times.
Get Intraday Activity
Gathers detailed, high-frequency activity readings throughout a day.
Get Measurements
Collects key physiological data points like weight, body temperature, and blood...
Get Sleep Details
Provides a granular breakdown of sleep stages (deep, light, REM) over the night.
Get Sleep Summary
Generates an overall summary and score for the previous night's rest.
Get User Devices
Lists all Withings hardware devices linked to your account.
Get User Goals
Retrieves the health and fitness goals you have set for yourself or a client.
Get Workouts
Gets detailed records of completed exercises, including type, distance, and duration.
Subscribe Notifications
Sets up automated alerts for new data entries like weigh-ins or activity spikes.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
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
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Withings, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Withings. 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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Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
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EU data residency
Token Compression
~60% cost reduction
Sifting Through Health Data Is a Full-Time Job.
Think about how you currently track health. You check your watch for steps, log blood pressure on one app, and download sleep data from another. To get a full picture of wellness, you end up copy-pasting numbers into spreadsheets, spending hours just trying to align the dates and formats.
With this MCP, you stop copying and pasting. You ask your agent once, 'Give me my complete health summary for last week.' It pulls weight data via `get_measurements`, analyzes sleep details with `get_sleep_details`, and summarizes activity—all in one response.
Get a Complete View of Your Body's Metrics with Withings.
The manual steps you lose are the cross-app logins, the CSV file exports, and the hours spent cleaning data. You no longer have to decide which number belongs to which day or what metric is missing from a sheet.
This MCP makes correlation automatic. It doesn't just give you numbers; it gives you context, letting you see how changing one habit impacts your sleep score.
What Withings MCP does for your AI
Need to understand what your biometric data actually means? This MCP lets you connect your AI client to Withings hardware, giving you deep insights into your health journey. Instead of manually logging numbers from multiple sources, your agent pulls everything together—sleep scores, daily steps, and blood pressure readings—and presents clear trends over time.
You can ask complex questions like, 'How did my sleep quality change when I started cycling?' The system handles the data retrieval, letting you focus on what to do next. Because this MCP is hosted on Vinkius, you connect once from any compatible client and get access to all your health tracking tools in one place.
019d849e-890b-72d2-b9c3-9cb80e23b3fe How to set up Withings MCP
The bottom line is, you give your agent permission via a token, and it starts pulling raw health numbers directly from Withings into conversation.
Subscribe to this MCP on Vinkius.
Go to the Withings Developer Portal and generate an OAuth Access Token for your application.
Use your AI client to query specific data points, like querying weight trends or sleep details.
Who uses Withings MCP
This connector is for anyone who treats their body like a data set. Think personal trainers needing client compliance reports or researchers tracking long-term physiological changes. It solves the problem of having to download and manually correlate dozens of CSV files.
Reviews a client's weekly activity data, checking for consistency in both steps and workout completion rates.
Analyzes physiological trends across a cohort of participants to identify correlations between sleep deprivation and blood pressure changes.
Asks the agent, 'Did my high-intensity workout yesterday affect my deep sleep last night?' to find immediate feedback loops in personal health data.
Benefits of connecting Withings MCP
Correlate different metrics easily. Instead of checking a spreadsheet to see if weight changes match sleep quality dips, you can ask the agent directly for the relationship between get_measurements and get_sleep_details.
Avoid missing data points. By setting up webhooks using subscribe_notifications, you get instant alerts when critical readings occur—like a high blood pressure spike or a morning weigh-in.
Analyze movement patterns beyond just steps. The get_intraday_activity tool lets you see precise, moment-by-moment activity data that simple step counts miss.
Get full context on your fitness routine. You can pull detailed workout logs using get_workouts, which gives more than just a type; it provides distance and duration for running, swimming, or cycling.
Keep track of everything in one place. The MCP centralizes access to weight (via get_measurements), activity summaries (get_activity), and sleep metrics, eliminating the need for multiple logins.
Withings MCP use cases
Investigating a Stressful Week
A user asks their agent to analyze data from the past seven days. The agent uses get_sleep_summary and cross-references it with heart rate measurements using get_heart_rate. It finds that every night they had over 6 hours of work, their sleep score dropped by an average of ten points.
Client Compliance Check
A personal trainer needs to see if a client is meeting goal parameters. The agent uses get_user_goals and compares that data against the activity logs retrieved using get_workouts, flagging any time the client missed their weekly cycling target.
Long-term Health Monitoring
A researcher tracks participants over a year. They programmatically pull weight and blood pressure readings via get_measurements to build statistical models, identifying subtle trends that would be impossible to spot by hand.
Pre-Workout Readiness Check
Before a big race, an athlete asks the agent for their current status. The MCP quickly checks get_sleep_details and compares it against recent activity levels (get_activity) to give them a readiness score.
Withings MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Comparing incompatible data types
A user tries to correlate the total calories burned (a cumulative metric) with the detailed REM sleep stages (a time-based event). The result is a confusing, uninterpretable number.
Group your analysis. First, use get_sleep_details to establish baseline sleep metrics for the night. Then, separately pull daily activity totals using get_activity. This keeps your data correlation clean and actionable.
Relying on manual exports
Downloading a month's worth of weight logs into Excel, then manually creating pivot tables to find the average monthly trend.
Instead, let your agent run get_measurements for all necessary dates. It compiles and analyzes those trends instantly within your conversation thread.
Asking vague questions
Just asking, 'How am I doing?' The agent can't provide a useful answer without knowing which metrics to compare.
Be specific. Ask the agent to analyze the correlation between get_workouts (like running) and subsequent days of sleep quality (get_sleep_summary).
When to use Withings MCP
Use this MCP if your goal is longitudinal trend analysis across disparate health metrics, or if you need real-time alerts on physiological changes. You must be tracking specific, quantified data points like blood pressure, body fat %, and sleep cycles.
Don't use it if you simply need to track a single metric (e.g., just counting steps for a week). For basic logging, an app or spreadsheet works fine. However, if your goal is complex analysis—like determining how running distance affects deep sleep quality—this MCP is essential because it provides the necessary tool access (get_workouts, get_sleep_details, get_measurements).
Frequently asked questions about Withings MCP
How often can I use the Withings MCP to get_measurements? +
You can query this tool frequently. It's designed for continuous data analysis, allowing you to pull historical readings of weight and blood pressure whenever your project requires it.
Does the Withings MCP help me track my body fat percentage? +
Yes, get_measurements handles body composition tracking. You can request history for both weight and body fat percent over a specified time range.
Can I use get_workouts to compare different exercise types? +
Absolutely. This tool pulls full details on specific workouts, allowing you to compare the distance and calorie burn between cycling sessions versus running sessions in one place.
What if I want notifications for when my weight changes? Does subscribe_notifications handle that? +
Yes. By using subscribe_notifications with the appropriate code, you can configure instant alerts to fire whenever a new weigh-in measurement is recorded on your device.
Is get_sleep_summary better than get_sleep_details? +
They serve different purposes. Use get_sleep_summary for the quick, overall score and total time. Use get_sleep_details when you need to analyze the specific duration of REM versus deep sleep stages.