> For the complete documentation index, see [llms.txt](https://developers.oxylabs.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developers.oxylabs.io/help-center/cn/mian-xiang-llm-de-shu-ju/how-does-model-context-protocol-mcp-standardize-data-for-llms.md).

# 模型上下文协议（MCP）如何为 LLM 标准化数据？

了解 MCP 如何让 AI 模型以一致的方式处理网页数据。

模型上下文协议（MCP）标准化了 AI 模型如何连接到工具和数据源。工具是有类型的，具有定义好的名称和输入集，任何 MCP 客户端都可以用相同方式调用它们。

使用 Oxylabs 的 MCP 服务器用于 [Web API](https://developers.oxylabs.io/products/web-api)，你的模型会以这种格式获得 search 和 scrape 工具。页面内容会以 Markdown 返回；当你提取特定字段时，则会以 JSON 返回。无需手动重新格式化。

### **工作原理**

* 将你的 MCP 客户端连接到用于 Web API 的 Oxylabs MCP 服务器。
* 你的模型会按需调用 search 和 scrape 工具。
* Web API 会以 Markdown 或 JSON 返回结果。

🧠 要进行设置，请查看 [MCP 服务器文档](https://developers.oxylabs.io/ai-workflows/mcp) 和 [GitHub](https://github.com/oxylabs/web-api-mcp).


---

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