get_resilience_data
Retrieve resilience metrics from Oura 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 dataInput Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| start_date | Yes | ||
| end_date | Yes |
Implementation Reference
- src/oura_mcp_server/server.py:383-403 (handler)MCP tool handler function for 'get_resilience_data'. Parses date inputs, delegates to OuraClient.get_resilience_data, and handles initialization and errors.
@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 implements the core logic: queries the Oura API /daily_resilience endpoint, removes 'id' fields from data, and returns transformed data.
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}