Superset MCP Integration

Instructions

Implementation Reference

• main.py:1562-1572 (handler)

  The handler function implementing the superset_tag_objects tool. It retrieves objects associated with tags by making a GET request to the Superset API endpoint /api/v1/tag/get_objects/ using the make_api_request helper.
  async def superset_tag_objects(ctx: Context) -> Dict[str, Any]: """ Get objects associated with tags Makes a request to the /api/v1/tag/get_objects/ endpoint to retrieve all objects that have tags assigned to them. Returns: A dictionary with tagged objects grouped by tag """ return await make_api_request(ctx, "get", "/api/v1/tag/get_objects/")
• main.py:1559-1559 (registration)

  The @mcp.tool() decorator registers the superset_tag_objects function as an MCP tool.
  @mcp.tool()
• main.py:271-330 (helper)

  The make_api_request helper function used by the tool to perform authenticated API calls to Superset, handling token refresh, CSRF, and error management.
  async def make_api_request( ctx: Context, method: str, endpoint: str, data: Dict[str, Any] = None, params: Dict[str, Any] = None, auto_refresh: bool = True, ) -> Dict[str, Any]: """ Helper function to make API requests to Superset Args: ctx: MCP context method: HTTP method (get, post, put, delete) endpoint: API endpoint (without base URL) data: Optional JSON payload for POST/PUT requests params: Optional query parameters auto_refresh: Whether to auto-refresh token on 401 """ superset_ctx: SupersetContext = ctx.request_context.lifespan_context client = superset_ctx.client # For non-GET requests, make sure we have a CSRF token if method.lower() != "get" and not superset_ctx.csrf_token: await get_csrf_token(ctx) async def make_request() -> httpx.Response: headers = {} # Add CSRF token for non-GET requests if method.lower() != "get" and superset_ctx.csrf_token: headers["X-CSRFToken"] = superset_ctx.csrf_token if method.lower() == "get": return await client.get(endpoint, params=params) elif method.lower() == "post": return await client.post( endpoint, json=data, params=params, headers=headers ) elif method.lower() == "put": return await client.put(endpoint, json=data, headers=headers) elif method.lower() == "delete": return await client.delete(endpoint, headers=headers) else: raise ValueError(f"Unsupported HTTP method: {method}") # Use auto_refresh if requested response = ( await with_auto_refresh(ctx, make_request) if auto_refresh else await make_request() ) if response.status_code not in [200, 201]: return { "error": f"API request failed: {response.status_code} - {response.text}" } return response.json()
• main.py:154-169 (helper)

  The requires_auth decorator applied to the tool, ensuring authentication before execution.
  def requires_auth( func: Callable[..., Awaitable[Dict[str, Any]]], ) -> Callable[..., Awaitable[Dict[str, Any]]]: """Decorator to check authentication before executing a function""" @wraps(func) async def wrapper(ctx: Context, *args, **kwargs) -> Dict[str, Any]: superset_ctx: SupersetContext = ctx.request_context.lifespan_context if not superset_ctx.access_token: return {"error": "Not authenticated. Please authenticate first."} return await func(ctx, *args, **kwargs) return wrapper
• main.py:171-186 (helper)

  The handle_api_errors decorator applied to the tool for consistent error handling.
  def handle_api_errors( func: Callable[..., Awaitable[Dict[str, Any]]], ) -> Callable[..., Awaitable[Dict[str, Any]]]: """Decorator to handle API errors in a consistent way""" @wraps(func) async def wrapper(ctx: Context, *args, **kwargs) -> Dict[str, Any]: try: return await func(ctx, *args, **kwargs) except Exception as e: # Extract function name for better error context function_name = func.__name__ return {"error": f"Error in {function_name}: {str(e)}"} return wrapper