How to Use the Withings MCP in OpenAI Agents SDK

Q: How does the Withings MCP Server handle weight data in OpenAI Agents SDK?

You use the getmeasurements tool, making sure to set the meastype parameter to 1 for weight. The server requires a date format of YYYY-MM-DD. This ensures your agent gets clean, structured weight records.

Q: Can I get sleep details using Withings and OpenAI Agents SDK?

Yeah, you can pull deep insights with getsleepdetails. This tool gives stages and states, which is way more useful than just a total hours count. It helps your agent understand the quality of rest.

Q: What data does Withings expose regarding workouts to OpenAI Agents SDK?

The getworkouts tool pulls records for activities like running or swimming. For each workout, you get specifics on duration, distance, calorie burn, and the activity category.

Q: How does the MCP Server manage notifications with Withings?

You subscribe to webhooks using subscribenotifications. You specify an app code—like 1 for weight changes or 44 for sleep events—so your agent gets pinged immediately when something happens.

Get real user health data with your OpenAI Agents SDK.

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Connect Withings MCP to OpenAI Agents SDK

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

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Setup Withings with OpenAI Agents SDK

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Track key vitals using the MCP Server

The server provides multiple ways to get vital signs. You can pull specific heart rate readings via `get_heart_rate`, or grab detailed weight and blood pressure data by calling `get_measurements`. This lets your agent build a complete profile of the user's health trends.

Monitor activity levels with your AI client

Your agent can get full daily summaries using `get_activity`, or pull high-frequency data points through `get_intraday_activity`. This goes beyond simple step counts, giving you a granular view of movement throughout the day. You'll find it useful for detailed physiological modeling.

Manage user goals and equipment via MCP Server

Need to know what the user is aiming for? Use `get_user_goals` to pull their fitness targets. The server also lists all connected gear with `get_user_devices`, ensuring your agent always knows which hardware it can act upon.

Setup guide

Set up Withings MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Withings tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Withings tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Withings tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Withings Agent",
            instructions="You have access to Withings tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Withings MCP in OpenAI Agents SDK

You use the `get_measurements` tool, making sure to set the `meastype` parameter to 1 for weight. The server requires a date format of YYYY-MM-DD. This ensures your agent gets clean, structured weight records.

Yeah, you can pull deep insights with `get_sleep_details`. This tool gives stages and states, which is way more useful than just a total hours count. It helps your agent understand the quality of rest.

The `get_workouts` tool pulls records for activities like running or swimming. For each workout, you get specifics on duration, distance, calorie burn, and the activity category.

You subscribe to webhooks using `subscribe_notifications`. You specify an app code—like 1 for weight changes or 44 for sleep events—so your agent gets pinged immediately when something happens.

The server manages several types of physiological measurements. These include weight, blood pressure (systolic/diastolic), body temperature, and heart rate pulses.

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