Withings MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Withings through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Withings, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Withings tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Withings MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Withings and passes them to the LLM
Why Use Vercel AI SDK with the Withings MCP Server
Vercel AI SDK provides unique advantages when paired with Withings through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Withings integration everywhere
Built-in streaming UI primitives let you display Withings tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Withings + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Withings MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Withings in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Withings tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Withings capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Withings through natural language queries
Withings MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Withings to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Withings to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWithings + Vercel AI SDK FAQ
Common questions about integrating Withings MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.