diff --git a/paddlespeech/server/README.md b/paddlespeech/server/README.md
new file mode 100644
index 00000000..4ce9605d
--- /dev/null
+++ b/paddlespeech/server/README.md
@@ -0,0 +1,33 @@
+# PaddleSpeech Server Command Line
+
+([简体中文](./README_cn.md)|English)
+
+ The simplest approach to use PaddleSpeech Server including server and client.
+
+ ## PaddleSpeech Server
+ ### Help
+ ```bash
+ paddlespeech_server help
+ ```
+ ### Start the server
+ First set the service-related configuration parameters, similar to `./conf/application.yaml`,
+ Then start the service:
+ ```bash
+ paddlespeech_server start --config_file ./conf/application.yaml
+ ```
+
+ ## PaddleSpeech Client
+ ### Help
+ ```bash
+ paddlespeech_client help
+ ```
+ ### Access speech recognition services 
+ ```
+ paddlespeech_client asr --server_ip 127.0.0.1 --port 8090 --input ./tests/16_audio.wav
+ ```
+ 
+ ### Access text to speech services
+ ```bash
+ paddlespeech_client tts --server_ip 127.0.0.1 --port 8090 --input "你好，欢迎使用百度飞桨深度学习框架！" --output output.wav
+ ```
+ 
diff --git a/paddlespeech/server/README_cn.md b/paddlespeech/server/README_cn.md
new file mode 100644
index 00000000..2dfd9474
--- /dev/null
+++ b/paddlespeech/server/README_cn.md
@@ -0,0 +1,32 @@
+# PaddleSpeech Server 命令行工具
+
+(简体中文|[English](./README.md))
+
+它提供了最简便的方式调用 PaddleSpeech 语音服务用一行命令就可以轻松启动服务和调用服务。
+
+ ## 服务端命令行使用
+ ### 帮助
+ ```bash
+ paddlespeech_server help
+ ```
+ ### 启动服务
+ 首先设置服务相关配置文件，类似于 `./conf/application.yaml`，同时设置服务配置中的语音任务模型相关配置，类似于 `./conf/tts/tts.yaml`。
+ 然后启动服务：
+ ```bash
+ paddlespeech_server start --config_file ./conf/application.yaml
+ ```
+
+ ## 客户端命令行使用
+ ### 帮助
+ ```bash
+ paddlespeech_client help
+ ```
+ ### 访问语音识别服务 
+ ```
+ paddlespeech_client asr --server_ip 127.0.0.1 --port 8090 --input input_16k.wav
+ ```
+ 
+ ### 访问语音合成服务
+ ```bash
+ paddlespeech_client tts --server_ip 127.0.0.1 --port 8090 --input "你好，欢迎使用百度飞桨深度学习框架！" --output output.wav
+ ```
diff --git a/paddlespeech/server/bin/paddlespeech_client.py b/paddlespeech/server/bin/paddlespeech_client.py
index ff8e34fa..0e030da9 100644
--- a/paddlespeech/server/bin/paddlespeech_client.py
+++ b/paddlespeech/server/bin/paddlespeech_client.py
@@ -24,6 +24,7 @@ import numpy as np
 import requests
 import soundfile
 
+from ..executor import BaseExecutor
 from ..util import cli_client_register
 from paddlespeech.server.utils.audio_process import wav2pcm
 from paddlespeech.server.utils.util import wav2base64
@@ -33,7 +34,7 @@ __all__ = ['TTSClientExecutor', 'ASRClientExecutor']
 
 @cli_client_register(
     name='paddlespeech_client.tts', description='visit tts service')
-class TTSClientExecutor():
+class TTSClientExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()
         self.parser = argparse.ArgumentParser()
@@ -42,7 +43,7 @@ class TTSClientExecutor():
         self.parser.add_argument(
             '--port', type=int, default=8090, help='server port')
         self.parser.add_argument(
-            '--text',
+            '--input',
             type=str,
             default="你好，欢迎使用语音合成服务",
             help='A sentence to be synthesized')
@@ -60,20 +61,20 @@ class TTSClientExecutor():
         self.parser.add_argument(
             '--output',
             type=str,
-            default="./out.wav",
+            default="./output.wav",
             help='Synthesized audio file')
 
     # Request and response
     def tts_client(self, args):
         """ Request and response
         Args:
-            text: A sentence to be synthesized
+            input: A sentence to be synthesized
             outfile: Synthetic audio file
         """
         url = 'http://' + args.server_ip + ":" + str(
             args.port) + '/paddlespeech/tts'
         request = {
-            "text": args.text,
+            "text": args.input,
             "spk_id": args.spk_id,
             "speed": args.speed,
             "volume": args.volume,
@@ -119,7 +120,7 @@ class TTSClientExecutor():
 
 @cli_client_register(
     name='paddlespeech_client.asr', description='visit asr service')
-class ASRClientExecutor():
+class ASRClientExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()
         self.parser = argparse.ArgumentParser()
@@ -128,29 +129,34 @@ class ASRClientExecutor():
         self.parser.add_argument(
             '--port', type=int, default=8090, help='server port')
         self.parser.add_argument(
-            '--audio_file',
+            '--input',
             type=str,
             default="./paddlespeech/server/tests/16_audio.wav",
             help='Audio file to be recognized')
         self.parser.add_argument(
             '--sample_rate', type=int, default=16000, help='audio sample rate')
+        self.parser.add_argument(
+            '--lang', type=str, default="zh_cn", help='language')
+        self.parser.add_argument(
+            '--audio_format', type=str, default="wav", help='audio format')
 
     def execute(self, argv: List[str]) -> bool:
         args = self.parser.parse_args(argv)
         url = 'http://' + args.server_ip + ":" + str(
             args.port) + '/paddlespeech/asr'
-        audio = wav2base64(args.audio_file)
+        audio = wav2base64(args.input)
         data = {
             "audio": audio,
-            "audio_format": "wav",
+            "audio_format": args.audio_format,
             "sample_rate": args.sample_rate,
-            "lang": "zh_cn",
+            "lang": args.lang,
         }
         time_start = time.time()
         try:
             r = requests.post(url=url, data=json.dumps(data))
             # ending Timestamp
             time_end = time.time()
+            print(r.json())
             print('time cost', time_end - time_start, 's')
         except:
             print("Failed to speech recognition.")
diff --git a/paddlespeech/server/bin/paddlespeech_server.py b/paddlespeech/server/bin/paddlespeech_server.py
index 029ba612..367375fc 100644
--- a/paddlespeech/server/bin/paddlespeech_server.py
+++ b/paddlespeech/server/bin/paddlespeech_server.py
@@ -17,6 +17,7 @@ from typing import List
 import uvicorn
 from fastapi import FastAPI
 
+from ..executor import BaseExecutor
 from ..util import cli_server_register
 from paddlespeech.server.engine.engine_factory import EngineFactory
 from paddlespeech.server.restful.api import setup_router
@@ -29,8 +30,8 @@ app = FastAPI(
 
 
 @cli_server_register(
-    name='paddlespeech_server.server', description='Start the service')
-class ServerExecutor():
+    name='paddlespeech_server.start', description='Start the service')
+class ServerExecutor(BaseExecutor):
     def __init__(self):
         super().__init__()
         self.parser = argparse.ArgumentParser()
diff --git a/paddlespeech/server/executor.py b/paddlespeech/server/executor.py
new file mode 100644
index 00000000..192e1f17
--- /dev/null
+++ b/paddlespeech/server/executor.py
@@ -0,0 +1,38 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import argparse
+from abc import ABC
+from abc import abstractmethod
+from typing import List
+
+class BaseExecutor(ABC):
+    """
+        An abstract executor of paddlespeech server tasks.
+    """
+
+    def __init__(self):
+        self.parser = argparse.ArgumentParser()
+
+    @abstractmethod
+    def execute(self, argv: List[str]) -> bool:
+        """
+        Command line entry. This method can only be accessed by a command line such as `paddlespeech asr`.
+
+        Args:
+            argv (List[str]): Arguments from command line.
+
+        Returns:
+            int: Result of the command execution. `True` for a success and `False` for a failure.
+        """
+        pass