How to Use the Withings MCP in Claude Code

Q: How do I run a Withings health check with Claude Code?

You write a script using the getheartrate tool to pull specific measurements. This allows your job to validate whether heart rate falls within acceptable parameters, and you pipe that result straight into a status report.

Q: Can I use Withings data for automated reporting with Claude Code?

Yes. You can fetch workout logs via getworkouts and write the output to a file system or an external database. This makes it perfect for generating compliance reports from your terminal.

Q: What kind of data does the MCP Server handle for Withings with Claude Code?

It covers everything: simple daily summaries like steps (getactivity), complex physiological measurements, and event subscriptions via subscribenotifications. The data is always structured for scripting.

Run background health checks and pipelines using Claude Code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Withings MCP to Claude Code

Create your Vinkius account to connect Withings to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Withings with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Batch Health Data Retrieval via MCP Server

Your CI/CD pipeline needs to check multiple metrics at once. You run a single command that uses `get_measurements` with various type IDs, pulling weight, systolic BP, and body temperature in one go. This is perfect for nightly cron jobs where you need reliable data streams without running five separate API calls.

Run Nightly Sleep Analysis on the MCP Server

Schedule a task that runs every morning to check sleep patterns. You call `get_sleep_summary` and then optionally drill down into specific states using `get_sleep_details`. The output pipes cleanly into a logging system. This makes it easy to audit user health compliance over time, which is critical for automated reporting.

Monitor Activity Changes with Claude Code

You can build a script that checks for unusual activity spikes. It pulls high-frequency data using `get_intraday_activity` or gets the daily average steps via `get_activity`. The output allows your job to determine if an anomaly occurred. This is critical for background monitoring systems that need immediate, actionable insights without human intervention.

Setup guide

Set up Withings MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see withings-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Withings transactions." It will automatically discover and invoke the available Withings tools.

Terminal

claude mcp add --transport http withings-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Withings MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "withings-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Withings now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Withings MCP in Claude Code

You write a script using the `get_heart_rate` tool to pull specific measurements. This allows your job to validate whether heart rate falls within acceptable parameters, and you pipe that result straight into a status report.

Yes. You can fetch workout logs via `get_workouts` and write the output to a file system or an external database. This makes it perfect for generating compliance reports from your terminal.

It covers everything: simple daily summaries like steps (`get_activity`), complex physiological measurements, and event subscriptions via `subscribe_notifications`. The data is always structured for scripting.

Yes. You can set up a script that listens to webhook notifications (`subscribe_notifications`). When an event happens, the job triggers and pulls the necessary data immediately.

The server gives you access to all core health metrics: activity, sleep patterns, blood pressure readings, and recorded exercises. Everything needed for a full health audit is available via CLI.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript