diff --git a/doc/source/user_guide/tutorials/dpf_server/index.rst b/doc/source/user_guide/tutorials/dpf_server/index.rst
index efc4e1bfdb..8031a9a19e 100644
--- a/doc/source/user_guide/tutorials/dpf_server/index.rst
+++ b/doc/source/user_guide/tutorials/dpf_server/index.rst
@@ -12,13 +12,15 @@ This tutorial explains how to manipulate DPF client-server architecture
     :margin: 2
 
     .. grid-item-card:: Switch between local and remote server
-       :link: ref_tutorials
+       :link: user_guide_server_types
        :link-type: ref
        :text-align: center
 
-       This tutorial
+       explains how to manipulate DPF client-server architecture
 
 .. toctree::
     :maxdepth: 2
     :hidden:
 
+    server_types.rst
+
diff --git a/doc/source/user_guide/server_types.rst b/doc/source/user_guide/tutorials/dpf_server/server_types.rst
similarity index 90%
rename from doc/source/user_guide/server_types.rst
rename to doc/source/user_guide/tutorials/dpf_server/server_types.rst
index 8ee493a7bd..8e1ebdc0b1 100644
--- a/doc/source/user_guide/server_types.rst
+++ b/doc/source/user_guide/tutorials/dpf_server/server_types.rst
@@ -25,56 +25,64 @@ using the :class:`InProcess <ansys.dpf.core.server_types.InProcessServer>` class
 	   
     from ansys.dpf import core as dpf
     local_server = dpf.start_local_server()
-    local_server
+    print(local_server)
 
 .. rst-class:: sphx-glr-script-out
 
- .. code-block:: none
- 
-    <ansys.dpf.core.server_types.InProcessServer object at ...>
+ .. jupyter-execute::
+    :hide-code:
+
+    from ansys.dpf import core as dpf
+    local_server = dpf.start_local_server()
+    print(local_server)
 
 This DPF Server can now be used to instantiate models, operators, and more.
 
 .. code-block::
-	
+
     # instantiate an operator
     local_operator = dpf.operators.results.displacement(server=local_server)
-	
+
     # instantiate a model
     from ansys.dpf.core import examples
     local_model = dpf.Model(examples.find_simple_bar(), server=local_server)
-	
+
 
 DPF Server through the network using gRPC
 -----------------------------------------
 
 The :class:`GrpcServer <ansys.dpf.core.server_types.GrpcServer>` class is used
-to enable gRPC communication: 
+to enable gRPC communication:
 
 .. code-block::
-	   
+
     from ansys.dpf import core as dpf
     grpc_server_config = dpf.AvailableServerConfigs.GrpcServer
     grpc_server = dpf.start_local_server(config=grpc_server_config)
-    grpc_server
+    print(grpc_server)
 
 .. rst-class:: sphx-glr-script-out
 
- .. code-block:: none
- 
-    <ansys.dpf.core.server_types.GrpcServer object at ...>
+ .. jupyter-execute::
+    :hide-code:
+
+    from ansys.dpf import core as dpf
+    grpc_server_config = dpf.AvailableServerConfigs.GrpcServer
+    grpc_server = dpf.start_local_server(config=grpc_server_config)
+    print(grpc_server)
 
 You can obtain the server port and IP address:
 
 .. code-block::
 
     print(grpc_server)
-	
+
 .. rst-class:: sphx-glr-script-out
 
- .. code-block:: none
+ .. jupyter-execute::
+    :hide-code:
 
-    DPF Server: {'server_ip': '127.0.0.1', 'server_port': 50052, 'server_process_id': 9999, 'server_version': '6.0', 'os': 'nt'}
+    print(grpc_server)
 	
 From another machine, you can connect remotely to this DPF Server and instantiate models, operators, and more: