Oura MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Oura through 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 Oura, 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 Oura MCP Server
Connect your Oura Ring to any AI agent and access your personal health data through natural conversation.
The Vercel AI SDK gives every Oura tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through 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
- Sleep — Analyze sleep scores, stages (REM/light/deep/wake), efficiency, latency and timing
- Activity — Track daily steps, calories, MET minutes and activity goals
- Readiness — Monitor readiness scores, HRV, resting heart rate, body temperature and recovery
- Tags — Review your manual entries for mood, energy, behaviors and substances
- Workouts — Browse logged workouts with type, duration, calories and heart rate zones
- Heart Rate — Access detailed 5-minute heart rate samples and HRV data
The Oura MCP Server exposes 7 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 Oura to Vercel AI SDK via MCP
Follow these steps to integrate the Oura 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 7 tools from Oura and passes them to the LLM
Why Use Vercel AI SDK with the Oura MCP Server
Vercel AI SDK provides unique advantages when paired with Oura 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 Oura integration everywhere
Built-in streaming UI primitives let you display Oura 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
Oura + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Oura MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Oura in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Oura tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Oura capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Oura through natural language queries
Oura MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Oura to Vercel AI SDK via MCP:
get_activity
Supports date range filtering. Get your Oura activity data
get_heart_rate
Returns timestamp, heart rate value and HRV for each sample. Supports date range filtering. Note: This endpoint returns high-frequency data; use narrow date ranges. Get your Oura heart rate data
get_readiness
Supports date range filtering. Get your Oura readiness data
get_sessions
Includes overall scores, sleep metrics, activity data and readiness indicators. Supports date range filtering. Get your Oura session data
get_sleep
Supports date range filtering with start_date and end_date (YYYY-MM-DD). Pagination via nextToken. Get your Oura sleep data
get_tags
). Tags are user-entered data points that correlate with sleep and readiness scores. Supports date range filtering. Get your Oura tags
get_workouts
Workouts can be manually logged or auto-detected by the Oura Ring. Supports date range filtering. Get your Oura workout data
Example Prompts for Oura in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Oura immediately.
"How did I sleep last night?"
"What is my readiness score today?"
"Show me my activity from yesterday."
Troubleshooting Oura MCP Server with Vercel AI SDK
Common issues when connecting Oura to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOura + Vercel AI SDK FAQ
Common questions about integrating Oura 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 Oura 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 Oura to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.