> 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/es/datos-para-llms/how-does-model-context-protocol-mcp-standardize-data-for-llms.md).

# ¿Cómo estandariza Model Context Protocol (MCP) los datos para LLMs?

Aprende cómo MCP ofrece a los modelos de IA una forma consistente de trabajar con datos web.

El Protocolo de Contexto de Modelo (MCP) estandariza cómo los modelos de IA se conectan a herramientas y fuentes de datos. Las herramientas tienen un tipo, con un nombre y un conjunto de entradas definidos, y cualquier cliente MCP puede llamarlas de la misma manera.

Con el servidor MCP de Oxylabs para [Web API](https://developers.oxylabs.io/products/web-api), tu modelo obtiene herramientas de búsqueda y extracción en este formato. El contenido de la página se devuelve como Markdown, o como JSON cuando extraes campos específicos. No hay reformateo manual.

### **Cómo funciona**

* Conecta tu cliente MCP al servidor MCP de Oxylabs para Web API.
* Tu modelo llama a las herramientas de búsqueda y extracción según las necesita.
* Web API devuelve los resultados como Markdown o JSON.

🧠 Para configurarlo, consulta la [documentación del servidor MCP](https://developers.oxylabs.io/ai-workflows/mcp) y [GitHub](https://github.com/oxylabs/web-api-mcp).


---

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