How do I filter for specific measurements like Body Fat or Blood Pressure?

Use the `meastype` parameter with the `get_measurements` tool. Common types: 1 (Weight), 4 (Height), 8 (Fat Mass), 9 (Diastolic BP), 10 (Systolic BP), 11 (Heart Pulse), 71 (Body Temperature).

What is the difference between sleep summary and sleep details?

`get_sleep_summary` returns one overall score and total duration per night. `get_sleep_details` returns high-frequency intraday data, detailing exactly what time you entered REM, deep sleep, or woke up throughout the night.

Can I receive real-time notifications when I step on the scale?

Yes, use the `subscribe_notifications` tool with an `appli` ID of 1 (Weight). Withings will then send a POST webhook to the callback URL you specify the moment a new weight measurement is synced.

Withings MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Withings
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Vinkius supports streamable HTTP and SSE.

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Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Withings and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

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

Fully ManagedVinkius Servers

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IAMAccess control

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DLPData protection

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Withings MCP Server

Connect your Withings account to any AI agent to unlock deep insights into your health, wellness, and fitness data collected by Withings smart scales, watches, and medical devices.

GitHub Copilot Agent mode brings Withings data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Medical Measurements — Track weight, body fat %, systolic/diastolic blood pressure, and heart pulse trends over time
Sleep Analytics — Access daily sleep scores, deep/light/REM sleep stage durations, and sleep efficiency metrics
Activity Tracking — Analyze daily step counts, active calories burned, and precise intraday activity levels
Workout Logging — Review distinct workout sessions (running, swimming, cycling) with categorizations and duration
Device Management — Check the battery status and connection status of your Withings hardware fleet
Real-time Notifications — Configure webhooks to receive instant alerts when new measurements (like a morning weigh-in) are recorded

The Withings MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Withings to VS Code Copilot via MCP

Follow these steps to integrate the Withings MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Withings

Ask Copilot: "Using Withings, help me..." — 10 tools available

Why Use VS Code Copilot with the Withings MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Withings through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Withings + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Withings MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Withings MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Withings to VS Code Copilot via MCP:

get_activity

Get daily activity summaries (steps, calories)

get_heart_rate

Get specific heart rate measurements

get_intraday_activity

Get high-frequency intraday activity data

get_measurements

Use meastype to filter (1=Weight, 4=Height, 9=Diastolic BP, 10=Systolic BP, 11=Heart Pulse, 71=Body Temp). Dates should be YYYY-MM-DD. Get physiological measurements (weight, blood pressure, etc)

get_sleep_details

Get detailed sleep data (stages and states)

get_sleep_summary

Get daily sleep summaries

get_user_devices

List user's Withings devices

get_user_goals

Get user health and fitness goals

get_workouts

g., running, swimming, cycling) with their specific duration, calorie burn, distance, and activity category. Get recorded workouts and exercises

subscribe_notifications

g. immediately after a user steps on a scale). Appli codes: 1(weight), 4(BP), 16(activity), 44(sleep). Subscribe to Withings webhook notifications

Example Prompts for Withings in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Withings immediately.

"Retrieve my weight and body fat measurements for the last 30 days."

"What was my sleep score and total sleep time last night?"

"Analyze my activity levels over the weekend. Did I hit my step goals?"

Troubleshooting Withings MCP Server with VS Code Copilot

Common issues when connecting Withings to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Withings + VS Code Copilot FAQ

Common questions about integrating Withings MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.