Withings MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Withings as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Withings. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Withings?"
)
print(response)
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.
LlamaIndex agents combine Withings tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Withings MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Withings
Why Use LlamaIndex with the Withings MCP Server
LlamaIndex provides unique advantages when paired with Withings through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Withings tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Withings tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Withings, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Withings tools were called, what data was returned, and how it influenced the final answer
Withings + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Withings MCP Server delivers measurable value.
Hybrid search: combine Withings real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Withings to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Withings for fresh data
Analytical workflows: chain Withings queries with LlamaIndex's data connectors to build multi-source analytical reports
Withings MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Withings to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Withings to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWithings + LlamaIndex FAQ
Common questions about integrating Withings MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.