Withings MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Withings as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="withings_agent",
tools=tools,
system_message=(
"You help users with Withings. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Withings tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Withings MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Withings automatically
Why Use AutoGen with the Withings MCP Server
AutoGen provides unique advantages when paired with Withings through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Withings tools to solve complex tasks
Role-based architecture lets you assign Withings tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Withings tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Withings tool responses in an isolated environment
Withings + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Withings MCP Server delivers measurable value.
Collaborative analysis: one agent queries Withings while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Withings, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Withings data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Withings responses in a sandboxed execution environment
Withings MCP Tools for AutoGen (10)
These 10 tools become available when you connect Withings to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Withings to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Withings + AutoGen FAQ
Common questions about integrating Withings MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
