aminghadersohi commented on code in PR #36739:
URL: https://github.com/apache/superset/pull/36739#discussion_r2631353412


##########
superset/mcp_service/sql_lab/tool/execute_sql.py:
##########
@@ -52,36 +59,75 @@ async def execute_sql(request: ExecuteSqlRequest, ctx: 
Context) -> ExecuteSqlRes
     # Log SQL query details (truncated for security)
     sql_preview = request.sql[:100] + "..." if len(request.sql) > 100 else 
request.sql
     await ctx.debug(
-        "SQL query details: sql_preview=%r, sql_length=%s, has_parameters=%s"
+        "SQL query details: sql_preview=%r, sql_length=%s, 
has_template_params=%s"
         % (
             sql_preview,
             len(request.sql),
-            bool(request.parameters),
+            bool(request.template_params),
         )
     )
 
     logger.info("Executing SQL query on database ID: %s", request.database_id)
 
     try:
-        # Use the ExecuteSqlCore to handle all the logic
-        sql_tool = ExecuteSqlCore(use_command_mode=False, logger=logger)
-        result = sql_tool.run_tool(request)
+        # Import inside function to avoid initialization issues
+        from superset import db, security_manager
+        from superset.models.core import Database
+
+        # 1. Get database and check access
+        database = 
db.session.query(Database).filter_by(id=request.database_id).first()
+        if not database:
+            raise SupersetErrorException(
+                SupersetError(
+                    message=f"Database with ID {request.database_id} not 
found",
+                    error_type=SupersetErrorType.DATABASE_NOT_FOUND_ERROR,
+                    level=ErrorLevel.ERROR,
+                )
+            )
+
+        if not security_manager.can_access_database(database):
+            raise SupersetSecurityException(
+                SupersetError(
+                    message=f"Access denied to database 
{database.database_name}",
+                    
error_type=SupersetErrorType.DATABASE_SECURITY_ACCESS_ERROR,
+                    level=ErrorLevel.ERROR,
+                )
+            )
+
+        # 2. Build QueryOptions
+        options = QueryOptions(
+            catalog=request.catalog,
+            schema=request.schema_name,
+            limit=request.limit,
+            timeout_seconds=request.timeout,
+            template_params=request.template_params,
+            dry_run=request.dry_run,
+            cache=CacheOptions(force_refresh=True),  # No caching for MCP

Review Comment:
   given the rate at which some clients can call the mcp with the same "list 
datasets" call i would say we need caching at this layer to save the database 
from melting. what do you think?



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