chore: add mcp_output_enable field to application and applicationversion models

apps/application/chat_pipeline/step/chat_step/i_chat_step.py

@@ -88,6 +88,7 @@ class IChatStep(IBaseChatPipelineStep):
         mcp_source = serializers.CharField(label="MCP Source", required=False, default="referencing")
         tool_enable = serializers.BooleanField(label="工具是否启用", required=False, default=False)
         tool_ids = serializers.JSONField(label="工具ID列表", required=False, default=list)
+        mcp_output_enable = serializers.BooleanField(label="MCP输出是否启用", required=False, default=True)
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
@@ -114,6 +115,6 @@ class IChatStep(IBaseChatPipelineStep):
                 padding_problem_text: str = None, stream: bool = True, chat_user_id=None, chat_user_type=None,
                 no_references_setting=None, model_params_setting=None, model_setting=None,
                 mcp_enable=False, mcp_tool_ids=None, mcp_servers='', mcp_source="referencing",
-                tool_enable=False, tool_ids=None,
+                tool_enable=False, tool_ids=None, mcp_output_enable=True,
                 **kwargs):
         pass

apps/application/chat_pipeline/step/chat_step/impl/base_chat_step.py

@@ -181,6 +181,7 @@ class BaseChatStep(IChatStep):
                 mcp_source="referencing",
                 tool_enable=False,
                 tool_ids=None,
+                mcp_output_enable=True,
                 **kwargs):
         chat_model = get_model_instance_by_model_workspace_id(model_id, workspace_id,
                                                               **model_params_setting) if model_id is not None else None
@@ -190,13 +191,13 @@ class BaseChatStep(IChatStep):
                                        manage, padding_problem_text, chat_user_id, chat_user_type,
                                        no_references_setting,
                                        model_setting,
-                                       mcp_enable, mcp_tool_ids, mcp_servers, mcp_source, tool_enable, tool_ids)
+                                       mcp_enable, mcp_tool_ids, mcp_servers, mcp_source, tool_enable, tool_ids, mcp_output_enable)
         else:
             return self.execute_block(message_list, chat_id, problem_text, post_response_handler, chat_model,
                                       paragraph_list,
                                       manage, padding_problem_text, chat_user_id, chat_user_type, no_references_setting,
                                       model_setting,
-                                      mcp_enable, mcp_tool_ids, mcp_servers, mcp_source, tool_enable, tool_ids)
+                                      mcp_enable, mcp_tool_ids, mcp_servers, mcp_source, tool_enable, tool_ids, mcp_output_enable)
 
     def get_details(self, manage, **kwargs):
         # 删除临时生成的MCP代码文件
@@ -229,7 +230,7 @@ class BaseChatStep(IChatStep):
         return result
 
     def _handle_mcp_request(self, mcp_enable, tool_enable, mcp_source, mcp_servers, mcp_tool_ids, tool_ids,
-                            chat_model, message_list):
+                            mcp_output_enable, chat_model, message_list):
         if not mcp_enable and not tool_enable:
             return None
 
@@ -269,7 +270,7 @@ class BaseChatStep(IChatStep):
                     mcp_servers_config[str(tool.id)] = tool_config
 
         if len(mcp_servers_config) > 0:
-            return mcp_response_generator(chat_model, message_list, json.dumps(mcp_servers_config))
+            return mcp_response_generator(chat_model, message_list, json.dumps(mcp_servers_config), mcp_output_enable)
 
         return None
 
@@ -284,7 +285,8 @@ class BaseChatStep(IChatStep):
                           mcp_servers='',
                           mcp_source="referencing",
                           tool_enable=False,
-                          tool_ids=None):
+                          tool_ids=None,
+                          mcp_output_enable=True):
         if paragraph_list is None:
             paragraph_list = []
         directly_return_chunk_list = [AIMessageChunk(content=paragraph.content)
@@ -302,7 +304,7 @@ class BaseChatStep(IChatStep):
         else:
             # 处理 MCP 请求
             mcp_result = self._handle_mcp_request(
-                mcp_enable, tool_enable, mcp_source, mcp_servers, mcp_tool_ids, tool_ids, chat_model, message_list,
+                mcp_enable, tool_enable, mcp_source, mcp_servers, mcp_tool_ids, tool_ids, mcp_output_enable, chat_model, message_list,
             )
             if mcp_result:
                 return mcp_result, True
@@ -324,9 +326,11 @@ class BaseChatStep(IChatStep):
                        mcp_servers='',
                        mcp_source="referencing",
                        tool_enable=False,
-                       tool_ids=None):
+                       tool_ids=None,
+                       mcp_output_enable=True):
         chat_result, is_ai_chat = self.get_stream_result(message_list, chat_model, paragraph_list,
-                                                         no_references_setting, problem_text, mcp_enable, mcp_tool_ids, mcp_servers, mcp_source, tool_enable, tool_ids)
+                                                         no_references_setting, problem_text, mcp_enable, mcp_tool_ids, mcp_servers, mcp_source, tool_enable, tool_ids,
+                                                         mcp_output_enable)
         chat_record_id = uuid.uuid7()
         r = StreamingHttpResponse(
             streaming_content=event_content(chat_result, chat_id, chat_record_id, paragraph_list,
@@ -348,7 +352,9 @@ class BaseChatStep(IChatStep):
                          mcp_servers='',
                          mcp_source="referencing",
                          tool_enable=False,
-                         tool_ids=None):
+                         tool_ids=None,
+                         mcp_output_enable=True
+                         ):
         if paragraph_list is None:
             paragraph_list = []
         directly_return_chunk_list = [AIMessageChunk(content=paragraph.content)
@@ -365,7 +371,8 @@ class BaseChatStep(IChatStep):
         else:
             # 处理 MCP 请求
             mcp_result = self._handle_mcp_request(
-                mcp_enable, tool_enable, mcp_source, mcp_servers, mcp_tool_ids, tool_ids, chat_model, message_list,
+                mcp_enable, tool_enable, mcp_source, mcp_servers, mcp_tool_ids, tool_ids, mcp_output_enable,
+                chat_model, message_list,
             )
             if mcp_result:
                 return mcp_result, True
@@ -386,7 +393,8 @@ class BaseChatStep(IChatStep):
                       mcp_servers='',
                       mcp_source="referencing",
                       tool_enable=False,
-                      tool_ids=None):
+                      tool_ids=None,
+                      mcp_output_enable=True):
         reasoning_content_enable = model_setting.get('reasoning_content_enable', False)
         reasoning_content_start = model_setting.get('reasoning_content_start', '<think>')
         reasoning_content_end = model_setting.get('reasoning_content_end', '</think>')
@@ -396,7 +404,7 @@ class BaseChatStep(IChatStep):
         # 调用模型
         try:
             chat_result, is_ai_chat = self.get_block_result(message_list, chat_model, paragraph_list,
-                                                            no_references_setting, problem_text, mcp_enable, mcp_tool_ids, mcp_servers, mcp_source, tool_enable, tool_ids)
+                                                            no_references_setting, problem_text, mcp_enable, mcp_tool_ids, mcp_servers, mcp_source, tool_enable, tool_ids, mcp_output_enable)
             if is_ai_chat:
                 request_token = chat_model.get_num_tokens_from_messages(message_list)
                 response_token = chat_model.get_num_tokens(chat_result.content)

apps/application/flow/step_node/ai_chat_step_node/i_chat_node.py

@@ -40,7 +40,7 @@ class ChatNodeSerializer(serializers.Serializer):
     tool_enable = serializers.BooleanField(required=False, default=False, label=_("Whether to enable tools"))
     tool_ids = serializers.ListField(child=serializers.UUIDField(), required=False, allow_empty=True,
                                      label=_("Tool IDs"), )
-
+    mcp_output_enable = serializers.BooleanField(required=False, default=True, label=_("Whether to enable MCP output"))
 
 class IChatNode(INode):
     type = 'ai-chat-node'
@@ -63,5 +63,6 @@ class IChatNode(INode):
                 mcp_source=None,
                 tool_enable=False,
                 tool_ids=None,
+                mcp_output_enable=True,
                 **kwargs) -> NodeResult:
         pass

apps/application/flow/step_node/ai_chat_step_node/impl/base_chat_node.py

@@ -159,6 +159,7 @@ class BaseChatNode(IChatNode):
                 mcp_source=None,
                 tool_enable=False,
                 tool_ids=None,
+                mcp_output_enable=True,
                 **kwargs) -> NodeResult:
         if dialogue_type is None:
             dialogue_type = 'WORKFLOW'
@@ -184,8 +185,8 @@ class BaseChatNode(IChatNode):
 
         # 处理 MCP 请求
         mcp_result = self._handle_mcp_request(
-            mcp_enable, tool_enable, mcp_source, mcp_servers, mcp_tool_id, mcp_tool_ids, tool_ids, chat_model, message_list,
+            mcp_enable, tool_enable, mcp_source, mcp_servers, mcp_tool_id, mcp_tool_ids, tool_ids, mcp_output_enable,
-            history_message, question
+            chat_model, message_list, history_message, question
         )
         if mcp_result:
             return mcp_result
@@ -202,7 +203,7 @@ class BaseChatNode(IChatNode):
                               _write_context=write_context)
 
     def _handle_mcp_request(self, mcp_enable, tool_enable, mcp_source, mcp_servers, mcp_tool_id, mcp_tool_ids, tool_ids,
-                            chat_model, message_list, history_message, question):
+                            mcp_output_enable, chat_model, message_list, history_message, question):
         if not mcp_enable and not tool_enable:
             return None
 
@@ -244,7 +245,7 @@ class BaseChatNode(IChatNode):
                     mcp_servers_config[str(tool.id)] = tool_config
 
         if len(mcp_servers_config) > 0:
-            r = mcp_response_generator(chat_model, message_list, json.dumps(mcp_servers_config))
+            r = mcp_response_generator(chat_model, message_list, json.dumps(mcp_servers_config), mcp_output_enable)
             return NodeResult(
                 {'result': r, 'chat_model': chat_model, 'message_list': message_list,
                  'history_message': history_message, 'question': question.content}, {},

apps/application/flow/tools.py

@@ -227,13 +227,13 @@ def generate_tool_message_template(name, context):
         return tool_message_template % (name, tool_message_json_template % (context))
 
 
-async def _yield_mcp_response(chat_model, message_list, mcp_servers):
+async def _yield_mcp_response(chat_model, message_list, mcp_servers, mcp_output_enable=True):
     client = MultiServerMCPClient(json.loads(mcp_servers))
     tools = await client.get_tools()
     agent = create_react_agent(chat_model, tools)
     response = agent.astream({"messages": message_list}, stream_mode='messages')
     async for chunk in response:
-        if isinstance(chunk[0], ToolMessage):
+        if mcp_output_enable and isinstance(chunk[0], ToolMessage):
             content = generate_tool_message_template(chunk[0].name, chunk[0].content)
             chunk[0].content = content
             yield chunk[0]
@@ -241,10 +241,10 @@ async def _yield_mcp_response(chat_model, message_list, mcp_servers):
             yield chunk[0]
 
 
-def mcp_response_generator(chat_model, message_list, mcp_servers):
+def mcp_response_generator(chat_model, message_list, mcp_servers, mcp_output_enable=True):
     loop = asyncio.new_event_loop()
     try:
-        async_gen = _yield_mcp_response(chat_model, message_list, mcp_servers)
+        async_gen = _yield_mcp_response(chat_model, message_list, mcp_servers, mcp_output_enable)
         while True:
             try:
                 chunk = loop.run_until_complete(anext_async(async_gen))

apps/application/migrations/0002_application_simple_mcp.py

@@ -40,6 +40,11 @@ class Migration(migrations.Migration):
             name='tool_ids',
             field=models.JSONField(default=list, verbose_name='工具ID列表'),
         ),
+        migrations.AddField(
+            model_name='application',
+            name='mcp_output_enable',
+            field=models.BooleanField(default=True, verbose_name='MCP输出是否启用'),
+        ),
         migrations.AddField(
             model_name='applicationversion',
             name='mcp_enable',
@@ -70,4 +75,9 @@ class Migration(migrations.Migration):
             name='tool_ids',
             field=models.JSONField(default=list, verbose_name='工具ID列表'),
         ),
+        migrations.AddField(
+            model_name='applicationversion',
+            name='mcp_output_enable',
+            field=models.BooleanField(default=True, verbose_name='MCP输出是否启用'),
+        ),
     ]

apps/application/models/application.py

@@ -99,6 +99,7 @@ class Application(AppModelMixin):
     mcp_source = models.CharField(verbose_name="MCP Source", max_length=20, default="referencing")
     tool_enable = models.BooleanField(verbose_name="工具是否启用", default=False)
     tool_ids = models.JSONField(verbose_name="工具ID列表", default=list)
+    mcp_output_enable = models.BooleanField(verbose_name="MCP输出是否启用", default=True)
 
     @staticmethod
     def get_default_model_prompt():
@@ -170,6 +171,7 @@ class ApplicationVersion(AppModelMixin):
     mcp_source = models.CharField(verbose_name="MCP Source", max_length=20, default="referencing")
     tool_enable = models.BooleanField(verbose_name="工具是否启用", default=False)
     tool_ids = models.JSONField(verbose_name="工具ID列表", default=list)
+    mcp_output_enable = models.BooleanField(verbose_name="MCP输出是否启用", default=True)
 
     class Meta:
         db_table = "application_version"

apps/application/serializers/application.py

@@ -707,7 +707,7 @@ class ApplicationOperateSerializer(serializers.Serializer):
             'tts_autoplay': 'tts_autoplay', 'stt_autosend': 'stt_autosend', 'file_upload_enable': 'file_upload_enable',
             'file_upload_setting': 'file_upload_setting',
             'mcp_enable': 'mcp_enable', 'mcp_tool_ids': 'mcp_tool_ids', 'mcp_servers': 'mcp_servers',
-            'mcp_source': 'mcp_source', 'tool_enable': 'tool_enable', 'tool_ids': 'tool_ids',
+            'mcp_source': 'mcp_source', 'tool_enable': 'tool_enable', 'tool_ids': 'tool_ids', 'mcp_output_enable': 'mcp_output_enable',
             'type': 'type'
         }
 
@@ -831,7 +831,7 @@ class ApplicationOperateSerializer(serializers.Serializer):
                        'stt_model_id', 'tts_model_id', 'tts_model_enable', 'stt_model_enable', 'tts_type',
                        'tts_autoplay', 'stt_autosend', 'file_upload_enable', 'file_upload_setting',
                        'api_key_is_active', 'icon', 'work_flow', 'model_params_setting', 'tts_model_params_setting',
-                       'mcp_enable', 'mcp_tool_ids', 'mcp_servers', 'mcp_source', 'tool_enable', 'tool_ids',
+                       'mcp_enable', 'mcp_tool_ids', 'mcp_servers', 'mcp_source', 'tool_enable', 'tool_ids', 'mcp_output_enable',
                        'problem_optimization_prompt', 'clean_time', 'folder_id']
         for update_key in update_keys:
             if update_key in instance and instance.get(update_key) is not None:

apps/application/serializers/common.py

@@ -161,6 +161,7 @@ class ChatInfo:
             'mcp_source': self.application.mcp_source,
             'tool_enable': self.application.tool_enable,
             'tool_ids': self.application.tool_ids,
+            'mcp_output_enable': self.application.mcp_output_enable,
         }
 
     def to_pipeline_manage_params(self, problem_text: str, post_response_handler: PostResponseHandler,

ui/src/api/type/application.ts

@@ -32,6 +32,7 @@ interface ApplicationFormType {
   mcp_source?: string
   tool_enable?: boolean
   tool_ids?: string[]
+  mcp_output_enable?: boolean
 }
 interface Chunk {
   real_node_id: string

ui/src/views/application/ApplicationSetting.vue

@@ -378,6 +378,22 @@
                     </div>
                   </template>
                 </div>
+                <el-form-item @click.prevent>
+                  <template #label>
+                    <div class="flex-between">
+                      <span class="mr-4">
+                        输出MCP/工具执行过程
+                      </span>
+                      <div class="flex">
+                        <el-switch
+                          class="ml-8"
+                          size="small"
+                          v-model="applicationForm.mcp_output_enable"
+                        />
+                      </div>
+                    </div>
+                  </template>
+                </el-form-item>
                 <el-form-item @click.prevent>
                   <template #label>
                     <div class="flex-between">
@@ -644,6 +660,7 @@ const applicationForm = ref<ApplicationFormType>({
   mcp_source: 'referencing',
   tool_enable: false,
   tool_ids: [],
+  mcp_output_enable: true,
 })
 const themeDetail = ref({})
 

ui/src/workflow/nodes/ai-chat-node/index.vue

@@ -211,7 +211,22 @@
             </div>
           </template>
         </div>
-
+        <el-form-item @click.prevent>
+          <template #label>
+            <div class="flex-between">
+              <span class="mr-4">
+                输出MCP/工具执行过程
+              </span>
+              <div class="flex">
+                <el-switch
+                  class="ml-8"
+                  size="small"
+                  v-model="chat_data.mcp_output_enable"
+                />
+              </div>
+            </div>
+          </template>
+        </el-form-item>
         <el-form-item @click.prevent>
           <template #label>
             <div class="flex-between w-full">
@@ -516,6 +531,9 @@ onMounted(() => {
    set(props.nodeModel.properties.node_data, 'mcp_tool_ids', [props.nodeModel.properties.node_data?.mcp_tool_id])
    set(props.nodeModel.properties.node_data, 'mcp_tool_id', undefined)
   }
+  if (props.nodeModel.properties.node_data?.mcp_output_enable === undefined) {
+   set(props.nodeModel.properties.node_data, 'mcp_output_enable', true)
+  }
 
   getToolSelectOptions()
   getMcpToolSelectOptions()