Withings MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Withings through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Withings Assistant",
instructions=(
"You help users interact with Withings. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Withings"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Withings through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Withings, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Withings MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Withings
Why Use OpenAI Agents SDK with the Withings MCP Server
OpenAI Agents SDK provides unique advantages when paired with Withings through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Withings + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Withings MCP Server delivers measurable value.
Automated workflows: build agents that query Withings, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Withings, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Withings tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Withings to resolve tickets, look up records, and update statuses without human intervention
Withings MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Withings to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Withings to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Withings + OpenAI Agents SDK FAQ
Common questions about integrating Withings MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Withings with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Withings to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.