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YuzeHao2023

Oura MCP Server

by YuzeHao2023

get_resilience_data

Retrieve resilience metrics from Oura Ring health data for a specified date range to analyze stress recovery and physical adaptation patterns.

Instructions

Get resilience data for a specific date range.

Args:
    start_date: Start date in ISO format (YYYY-MM-DD)
    end_date: End date in ISO format (YYYY-MM-DD)

Returns:
    Dictionary containing resilience data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateYes
end_dateYes

Implementation Reference

  • MCP tool handler function that implements the get_resilience_data tool. It validates the Oura client, parses input dates, delegates to OuraClient.get_resilience_data, and handles exceptions.
    @mcp.tool()
    def get_resilience_data(start_date: str, end_date: str) -> dict[str, Any]:
        """
        Get resilience data for a specific date range.
    
        Args:
            start_date: Start date in ISO format (YYYY-MM-DD)
            end_date: End date in ISO format (YYYY-MM-DD)
    
        Returns:
            Dictionary containing resilience data
        """
        if oura_client is None:
            return {"error": "Oura client not initialized. Please provide an access token."}
    
        try:
            start = parse_date(start_date)
            end = parse_date(end_date)
            return oura_client.get_resilience_data(start, end)
        except Exception as e:
            return {"error": str(e)}
  • OuraClient helper method that performs the actual API call to fetch resilience data from Oura API, handles the HTTP request, and transforms the response by removing 'id' fields.
    def get_resilience_data(
        self, start_date: date, end_date: Optional[date] = None
    ) -> dict[str, Any]:
        """
        Get resilience data for a specific date range.
    
        Args:
            start_date: Start date for the query
            end_date: End date for the query (optional, defaults to start_date)
    
        Returns:
            Dictionary containing resilience data
        """
        if end_date is None:
            end_date = start_date
    
        params = {
            "start_date": start_date.isoformat(),
            "end_date": end_date.isoformat(),
        }
    
        url = f"{self.BASE_URL}/daily_resilience"
        response = self.client.get(url, headers=self.headers, params=params)
    
        if response.status_code != 200:
            error_msg = f"Error {response.status_code}: {response.text}"
            raise Exception(error_msg)
    
        # Get the raw response
        raw_data = response.json()
    
        # Transform the data - just return the data array directly
        transformed_data = []
    
        for item in raw_data.get("data", []):
            # Create transformed item without the id field
            transformed_item = {k: v for k, v in item.items() if k != "id"}
            transformed_data.append(transformed_item)
    
        # Return with the original structure but with transformed data
        return {"data": transformed_data}
  • Helper function to parse input date strings into date objects, used by the tool handler.
    def parse_date(date_str: str) -> date:
        """
        Parse a date string in ISO format (YYYY-MM-DD).
    
        Args:
            date_str: Date string in ISO format
    
        Returns:
            Date object
        """
        try:
            return date.fromisoformat(date_str)
        except ValueError as err:
            raise ValueError(
                f"Invalid date format: {date_str}. Expected format: YYYY-MM-DD"
            ) from err

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