Oura MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Oura 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="oura_agent",
tools=tools,
system_message=(
"You help users with Oura. "
"7 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 Oura MCP Server
Connect your Oura Ring to any AI agent and access your personal health data through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Oura tools. Connect 7 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
- 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 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 Oura to AutoGen via MCP
Follow these steps to integrate the Oura 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 7 tools from Oura automatically
Why Use AutoGen with the Oura MCP Server
AutoGen provides unique advantages when paired with Oura through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Oura tools to solve complex tasks
Role-based architecture lets you assign Oura 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 Oura tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Oura tool responses in an isolated environment
Oura + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Oura MCP Server delivers measurable value.
Collaborative analysis: one agent queries Oura while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Oura, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Oura data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Oura responses in a sandboxed execution environment
Oura MCP Tools for AutoGen (7)
These 7 tools become available when you connect Oura to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Oura to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Oura + AutoGen FAQ
Common questions about integrating Oura 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 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 AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.