Skip to main content
Glama
CW-Codewalnut

Metabase MCP Server

copy_metabase_dashboard

Duplicate an existing Metabase dashboard to create a new version with custom name, description, and collection placement. Optionally copy linked cards for comprehensive replication.

Instructions

Copy a dashboard.

Args: from_dashboard_id (int): ID of the source dashboard to copy. name (str): Name for the new dashboard. description (str, optional): Description for the new dashboard. collection_id (int, optional): Collection ID for the new dashboard. is_deep_copy (bool, optional): Whether to perform a deep copy (copy linked cards too). collection_position (int, optional): Position in the collection.

Returns: Dict[str, Any]: New dashboard metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
from_dashboard_idYes
nameYes
descriptionNo
collection_idNo
is_deep_copyNo
collection_positionNo

Implementation Reference

  • The main handler function for 'copy_metabase_dashboard' tool. It accepts dashboard copy parameters (from_dashboard_id, name, description, collection_id, is_deep_copy, collection_position), builds a payload, and makes a POST request to Metabase's /api/dashboard/{from_dashboard_id}/copy endpoint. Registered as an MCP tool via @mcp.tool() decorator.
    @mcp.tool()
    async def copy_metabase_dashboard(
        from_dashboard_id: int,
        name: str,
        description: Optional[str] = None,
        collection_id: Optional[int] = None,
        is_deep_copy: bool = False,
        collection_position: Optional[int] = None
    ) -> Dict[str, Any]:
        """
        Copy a dashboard.
    
        Args:
            from_dashboard_id (int): ID of the source dashboard to copy.
            name (str): Name for the new dashboard.
            description (str, optional): Description for the new dashboard.
            collection_id (int, optional): Collection ID for the new dashboard.
            is_deep_copy (bool, optional): Whether to perform a deep copy (copy linked cards too).
            collection_position (int, optional): Position in the collection.
    
        Returns:
            Dict[str, Any]: New dashboard metadata.
        """
        payload = {
            "name": name,
        }
        if description is not None:
            payload["description"] = description
        if collection_id is not None:
            payload["collection_id"] = collection_id
        if is_deep_copy is not None:
            payload["is_deep_copy"] = is_deep_copy
        if collection_position is not None:
            payload["collection_position"] = collection_position
    
        logger.info(f"Copying dashboard {from_dashboard_id} to '{name}'")
        return await make_metabase_request(
            RequestMethod.POST,
            f"/api/dashboard/{from_dashboard_id}/copy",
            json=payload
        )
  • Helper function 'make_metabase_request' that handles all HTTP communication with the Metabase API. It creates authenticated requests with proper headers, handles errors (connection errors, 5xx responses, non-JSON responses), and returns parsed JSON responses.
    async def make_metabase_request(
        method: RequestMethod,
        endpoint: str,
        data: Optional[Dict[str, Any] | bytes] = None,
        params: Optional[Dict[str, Any]] = None,
        json: Any = None,
        headers: Optional[Dict[str, str]] = None,
    ) -> Dict[str, Any]:
        """
        Make a request to the Metabase API.
        
        Args:
            method: HTTP method to use (GET, POST, PUT, DELETE)
            endpoint: API endpoint path
            data: Request data (for form data)
            params: URL parameters
            json: JSON request body
            headers: Additional headers
            
        Returns:
            Dict[str, Any]: Response data
            
        Raises:
            MetabaseConnectionError: When the Metabase server is unreachable
            MetabaseResponseError: When Metabase returns a non-2xx status code
            RuntimeError: For other errors
        """
        
        if not METABASE_URL or not METABASE_API_KEY:
            raise RuntimeError("METABASE_URL or METABASE_API_KEY environment variable is not set. Metabase API requests will fail.")
    
        if session is None:
            raise RuntimeError("HTTP session is not initialized. Ensure app_lifespan was called.")
    
        try:
            request_headers = headers or {}
            
            logger.debug(f"Making {method.name} request to {METABASE_URL}{endpoint}")
            
            # Log request payload for debugging (omit sensitive info)
            if json and logger.level <= logging.DEBUG:
                sanitized_json = {**json}
                if 'password' in sanitized_json:
                    sanitized_json['password'] = '********'
                logger.debug(f"Request payload: {sanitized_json}")
                
            response = await session.request(
                method=method.name,
                url=endpoint,
                timeout=aiohttp.ClientTimeout(total=30),
                headers=request_headers,
                data=data,
                params=params,
                json=json,
            )
    
            try:
                # Handle 500 errors with more detailed info
                if response.status >= 500:
                    error_text = await response.text()
                    logger.error(f"Server error {response.status}: {error_text[:200]}")
                    raise MetabaseResponseError(response.status, f"Server Error: {error_text[:200]}", endpoint)
                
                response.raise_for_status()
                response_data = await response.json()
                
                # Ensure the response is a dictionary for FastMCP compatibility
                return ensure_dict_response(response_data)
                
            except aiohttp.ContentTypeError:
                # Handle empty responses or non-JSON responses
                content = await response.text()
                if not content:
                    return {"data": {}}
                logger.warning(f"Received non-JSON response: {content}")
                return {"data": content}
    
        except aiohttp.ClientConnectionError as e:
            logger.error(f"Connection error: {str(e)}")
            raise MetabaseConnectionError("Metabase is unreachable. Is the Metabase server running?") from e
        except aiohttp.ClientResponseError as e:
            logger.error(f"Response error: {e.status}, {e.message}, {e.request_info.url}")
            raise MetabaseResponseError(e.status, e.message, str(e.request_info.url)) from e
        except Exception as e:
            logger.error(f"Request error: {str(e)}")
            raise RuntimeError(f"Request error: {str(e)}") from e
  • FastMCP instance initialization. The 'mcp' object is created with the name 'metabase' and a lifespan context manager. This object is used to register tools via the @mcp.tool() decorator.
    # Initialize FastMCP agent
    mcp = FastMCP("metabase", lifespan=app_lifespan)
  • RequestMethod enum defining HTTP methods (GET, POST, PUT, DELETE) used for API requests. The copy_metabase_dashboard handler uses RequestMethod.POST for the copy operation.
    from enum import Enum, auto
    
    class RequestMethod(Enum):
        GET = auto()
        POST = auto()
        PUT = auto()
        DELETE = auto()
    
        def __str__(self):
            return self.name

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/CW-Codewalnut/metabase-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server