How to Use the Withings MCP in LlamaIndex

Q: Can LlamaIndex search past Withings data?

Yes. By indexing the output of tools like getsleepsummary and getactivity, you create a permanent, queryable knowledge base from historical records that's much better than just reading an API endpoint.

Build RAG applications that index Withings health data into LlamaIndex knowledge bases.

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Connect Withings MCP to LlamaIndex

Create your Vinkius account to connect Withings to LlamaIndex 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 LlamaIndex

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Search Historical Activity Logs

LlamaIndex indexes the results from `get_activity` and `get_workouts`. Instead of just pulling raw numbers, you can query your index: 'What was my average calorie burn during cycling in July?' The output is grounded knowledge, not a live API call.

Query Indexed Physiological Measurements

The MCP Server makes `get_measurements` accessible for indexing. This means you can ask semantic questions like, 'What was my blood pressure when I weighed X amount?' The results from the server become part of your searchable knowledge base.

Build Sleep Cycle Knowledge Bases

You feed detailed sleep data—including stages and states from `get_sleep_details`—into a vector store. This lets you build RAG applications that answer complex questions like, 'How does my deep sleep correlate with high activity levels?' using past records.

Setup guide

Set up Withings MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Withings MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Withings tools.",
)
response = await agent.run("List recent Withings data")

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Common questions about Withings MCP in LlamaIndex

Yes. By indexing the output of tools like `get_sleep_summary` and `get_activity`, you create a permanent, queryable knowledge base from historical records that's much better than just reading an API endpoint.

You combine the live tool output with your private documents into one unified index. For instance, you can compare a workout log from `get_workouts` against a policy document you're indexing.

This server provides access to weight, height, blood pressure (systolic/diastolic), and body temperature via `get_measurements`. All these structured measurements get indexed for later semantic searching.

It handles live tool calls, allowing you to retrieve current status (like the most recent weight reading) and immediately index that fresh data point into your knowledge base for continuity.

The server accesses physiological measurements including blood pressure, body temperature, heart rate, and weight. These are critical inputs that become part of your permanent knowledge index.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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