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Superset MCP Integration

by aptro

superset_chart_list

Retrieve a paginated list of charts accessible to the current user from Apache Superset, including details like chart names, visualization types, and data sources.

Instructions

Get a list of charts from Superset

Makes a request to the /api/v1/chart/ endpoint to retrieve all charts the current user has access to view. Results are paginated.

Returns: A dictionary containing chart data including id, slice_name, viz_type, and datasource info

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • main.py:624-638 (handler)
    The handler function implementing the 'superset_chart_list' MCP tool. It is decorated with @mcp.tool() for registration, @requires_auth for authentication check, and @handle_api_errors for error handling. The function makes a GET request to Superset's /api/v1/chart/ endpoint to list all accessible charts.
    @mcp.tool() @requires_auth @handle_api_errors async def superset_chart_list(ctx: Context) -> Dict[str, Any]: """ Get a list of charts from Superset Makes a request to the /api/v1/chart/ endpoint to retrieve all charts the current user has access to view. Results are paginated. Returns: A dictionary containing chart data including id, slice_name, viz_type, and datasource info """ return await make_api_request(ctx, "get", "/api/v1/chart/")
  • main.py:624-624 (registration)
    The @mcp.tool() decorator registers the superset_chart_list function as an MCP tool.
    @mcp.tool()
  • The make_api_request helper function used by superset_chart_list to perform authenticated API requests to Superset with automatic token refresh and CSRF handling.
    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()
  • The requires_auth decorator ensuring the user is authenticated before executing the tool.
    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
  • The handle_api_errors decorator providing consistent error handling for API calls.
    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

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