create_metabase_collection
Create a new collection in Metabase to organize dashboards and charts, with options to set name, color, and parent collection structure.
Instructions
Create a new Metabase collection.
Args: name (str): Name of the collection. color (str, optional): Hex color code. parent_id (int, optional): ID of the parent collection.
Returns: Dict[str, Any]: Newly created collection metadata.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| color | No | ||
| parent_id | No |
Implementation Reference
- src/metabase_mcp_server.py:265-283 (handler)The async handler function that creates a new Metabase collection. Takes collection name, optional color, and optional parent_id parameters. Builds a payload dictionary and calls the make_metabase_request helper to POST to /api/collection endpoint.
async def create_metabase_collection(name: str, color: Optional[str] = None, parent_id: Optional[int] = None) -> Dict[str, Any]: """ Create a new Metabase collection. Args: name (str): Name of the collection. color (str, optional): Hex color code. parent_id (int, optional): ID of the parent collection. Returns: Dict[str, Any]: Newly created collection metadata. """ payload = {"name": name} if color: payload["color"] = color if parent_id: payload["parent_id"] = parent_id logger.info(f"Creating collection '{name}'") return await make_metabase_request(RequestMethod.POST, "/api/collection", json=payload) - src/metabase_mcp_server.py:264-264 (registration)The @mcp.tool() decorator registers the create_metabase_collection function as an MCP tool with the FastMCP framework.
@mcp.tool() - src/metabase_mcp_server.py:162-247 (helper)The make_metabase_request helper function handles all HTTP communication with the Metabase API. Manages session creation, request execution, error handling, and response parsing. Used by create_metabase_collection to make the actual API call.
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