Superset MCP Integration

Instructions

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()

• main.py:271-330 (helper)

  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()

• main.py:154-169 (helper)

  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

• main.py:171-186 (helper)

  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