diff --git a/README.md b/README.md
index ef96442..f977372 100644
--- a/README.md
+++ b/README.md
@@ -422,6 +422,30 @@ Here are some tasks you can try with OWL:
 
 OWL's MCP integration provides a standardized way for AI models to interact with various tools and data sources:
 
+Before using MCP, you need to install Node.js first.
+### **Install Node.js**
+### Windows
+
+Download the official installer: [Node.js](https://nodejs.org/en).
+
+Check "Add to PATH" option during installation.
+
+### Linux
+```bash
+sudo apt update
+sudo apt install nodejs npm -y
+```
+### Mac
+```bash
+brew install node
+```
+
+### **Install Playwright MCP Service**
+```bash
+npm install -g @executeautomation/playwright-mcp-server
+npx playwright install-deps
+```
+
 Try our comprehensive MCP example in `examples/run_mcp.py` to see these capabilities in action!
 
 ## Available Toolkits
diff --git a/README_zh.md b/README_zh.md
index d9aa550..22cf984 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -410,6 +410,29 @@ OWL 将自动调用与文档相关的工具来处理文件并提取答案。
 ## 模型上下文协议（MCP）
 
 OWL 的 MCP 集成为 AI 模型与各种工具和数据源的交互提供了标准化的方式。
+在使用MCP前，需要先安装Node.js。
+### **安装 Node.js**
+### Windows
+
+下载官方安装包：[Node.js](https://nodejs.org/zh-cn)。
+
+安装时，勾选 "Add to PATH" 选项。
+
+### Linux
+```bash
+sudo apt update
+sudo apt install nodejs npm -y
+```
+### Mac
+```bash
+brew install node
+```
+
+### **安装 MCP 服务**
+```bash
+npm install -g @executeautomation/playwright-mcp-server
+npx playwright install-deps
+```
 
 查看我们的综合示例 `examples/run_mcp.py` 来体验这些功能！
 
diff --git a/examples/mcp_servers_config.json b/examples/mcp_servers_config.json
index 87b652e..d94bd91 100644
--- a/examples/mcp_servers_config.json
+++ b/examples/mcp_servers_config.json
@@ -1,13 +1,5 @@
 {
   "mcpServers": {
-    "desktop-commander": {
-      "command": "npx",
-      "args": [
-        "-y",
-        "@wonderwhy-er/desktop-commander",
-        "--force-file-protocol"
-      ]
-    },
     "playwright": {
       "command": "npx",
       "args": ["-y", "@executeautomation/playwright-mcp-server"]
diff --git a/examples/run_mcp.py b/examples/run_mcp.py
index 3274f15..71b6854 100644
--- a/examples/run_mcp.py
+++ b/examples/run_mcp.py
@@ -22,27 +22,8 @@ Environment Setup:
 
 2. MCP Server Setup:
 
-   2.1 MCP Desktop Commander (File System Service):
-   Prerequisites: Node.js and npm
-   ```bash
-   # Install MCP service
-   npx -y @smithery/cli install @wonderwhy-er/desktop-commander --client claude
-   npx -y @wonderwhy-er/desktop-commander setup --force-file-protocol
 
-   # Configure in owl/examples/mcp_servers_config.json:
-   {
-     "desktop-commander": {
-       "command": "npx",
-       "args": [
-         "-y",
-         "@wonderwhy-er/desktop-commander",
-         "--force-file-protocol"
-       ]
-     }
-   }
-   ```
-
-   2.2 MCP Playwright Service:
+   2.1 MCP Playwright Service:
    ```bash
    # Install MCP service
    npm install -g @executeautomation/playwright-mcp-server
@@ -59,7 +40,7 @@ Environment Setup:
    }
    ```
 
-   2.3 MCP Fetch Service (Optional - for better retrieval):
+   2.2 MCP Fetch Service (Optional - for better retrieval):
    ```bash
    # Install MCP service
    pip install mcp-server-fetch
@@ -168,8 +149,7 @@ async def main():
         question = (
             "I'd like a academic report about Andrew Ng, including "
             "his research direction, published papers (At least 3),"
-            " institutions, etc.Then organize the report in Markdown "
-            "format and save it to my desktop"
+            " institutions, etc. "
         )
 
         # Connect to all MCP toolkits