用AI配合MCP快速生成n8n工作流

sudo uname -r
查看系统内核

sudo cat /etc/os-release

sudo yum remove docker \
                  docker-client \
                  docker-client-latest \
                  docker-common \
                  docker-latest \
                  docker-latest-logrotate \
                  docker-logrotate \
                  docker-engine

sudo yum install -y yum-utils
#设置镜像仓库（需要翻墙）
sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
# 腾讯云
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

sudo yum makecache fast

sudo yum install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

# 您可以通过修改daemon配置文件/etc/docker/daemon.json来使用加速器
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": ["https://xxxxx.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker

sudo systemctl start docker
sudo docker version

sudo systemctl stop docker

 #创建数据卷
 docker volume create n8n_data
 #
 docker pull n8nio/n8n:latest

    docker run -it --rm --name n8n ##长期后台运行换成--rm参数更换为-d参数
    -e GENERIC_TIMEZONE=Asia/Shanghai 
    -e N8N_SECURE_COOKIE=false     ##测试用，跳过https的限制
    -p 5678:5678 
    -v n8n_data:/home/node/.n8n n8nio/n8n

#npm修改成国内镜像源
    1. 命令
    npm config set registry https://registry.npmmirror.com
    2. 验证命令
    npm config get registry
    如果返回https://registry.npmmirror.com，说明镜像配置成功。

# Clone the repository
git clone https://github.com/leonardsellem/n8n-mcp-server.git
cd n8n-mcp-server

# Install dependencies
npm install

# Build the project
npm run build

# Optional: Install globally
npm install -g .

{
  "mcpServers": {
    // Give your server a unique name
    "n8n-local": {
      // Use 'node' to execute the built JavaScript file
      "command": "node",
      // Provide the *absolute path* to the built index.js file
      "args": [
         //更改为具体的mcp build文件夹的位置
        // "/root/n8n/n8n-mcp-server/build/index.js"    //linux下位置
        // On Windows, use double backslashes:
        "F:\\obsidianRepo\\n8n-mcp-server\\build\\index.js"
      ],
      // Environment variables needed by the server
      "env": {
        "N8N_API_URL": "http://localhost:5678/api/v1", // Replace with your n8n URL
        "N8N_API_KEY": "xxxxxx", // Replace with your key
        // Add webhook credentials only if you plan to use webhook tools
        // "N8N_WEBHOOK_USERNAME": "your_webhook_user",
        // "N8N_WEBHOOK_PASSWORD": "your_webhook_password"
      },
      // Ensure the server is enabled
      "disabled": false,
      // Default autoApprove settings
      "autoApprove": []
    }
    // ... other servers might be configured here
  }
}

提示词：
新建一个n8n工作流，功能如下:
每天上午7点定时查询，上海当天的天气信息。然后使用AI(Deepseek模型)对天气信息进行分析后，生成一份美观的天气预报，内容包括当天天气，穿衣指数推荐、出行注意事项。最后把天气预报信息，发送到飞书。
参考工作流xxxx.json
##参考的工作流可以去https://n8n.io/workflows/ 下载
用claude4模型效果最好

 vim /etc/resolv.conf

#dns内容修改为
nameserver 8.8.8.8
nameserver 8.8.4.4

#重启docker容器 
docker ps
docker restart c32f744843b7