连接 MCP 服务器

import OpenAI from "openai";
import process from 'process';

const openai = new OpenAI({
  // 若没有配置环境变量，请用千问云 API Key 将下行替换为：apiKey: "sk-xxx",
  apiKey: process.env.DASHSCOPE_API_KEY,
  baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1"
});

async function main() {
  // MCP 工具配置
  const mcpTool = {
    type: "mcp",
    server_protocol: "sse",
    server_label: "WebParser",
    server_description: "网页解析（WebParser）MCP 服务，一个专用于网页内容解析的工具包。",
    server_url: "https://dashscope.aliyuncs.com/api/v1/mcps/WebParser/sse",
    headers: {
      "Authorization": "Bearer " + process.env.DASHSCOPE_API_KEY
    }
  };

  const response = await openai.responses.create({
    model: "qwen3.6-plus",
    input: "https://help.aliyun.com/zh/model-studio/mcp 里支持哪些模型？",
    tools: [mcpTool]
  });

  console.log("[模型回复]");
  console.log(response.output_text);
  console.log(`\n[Token 用量] 输入: ${response.usage.input_tokens}, 输出: ${response.usage.output_tokens}, 合计: ${response.usage.total_tokens}`);
}

main();

curl -X POST https://dashscope.aliyuncs.com/compatible-mode/v1/responses \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "model": "qwen3.6-plus",
  "input": "https://help.aliyun.com/zh/model-studio/mcp 里支持哪些模型？",
  "tools": [
    {
      "type": "mcp",
      "server_protocol": "sse",
      "server_label": "WebParser",
      "server_description": "网页解析（WebParser）MCP 服务，一个专用于网页内容解析的工具包。",
      "server_url": "https://dashscope.aliyuncs.com/api/v1/mcps/WebParser/sse",
      "headers": {
        "Authorization": "Bearer your-api-key"
      }
    }
  ]
}'