# About MCP

### What is MCP <a href="#what-is-mcp" id="what-is-mcp"></a>

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

### Why MCP? <a href="#why-mcp" id="why-mcp"></a>

MCP helps you build agents and complex workflows on top of LLMs. LLMs frequently need to integrate with data and tools, and MCP provides:

* A growing list of pre-built integrations that your LLM can directly plug into
* The flexibility to switch between LLM providers and vendors
* Best practices for securing your data within your infrastructure

> For more info about MCP please visit: <https://modelcontextprotocol.io/introduction>

### Why XePHY for MCP? <a href="#why-dephy-for-mcp" id="why-dephy-for-mcp"></a>

In short:

* Hosting MCP servers requires professional prgramming skills
* Running every one of MCP servers locally can cost a lot computer resource
* Hosting unknown MCP servers leads to security problem
* Some services(scraping, searching) need a lot of residential IPs

XePHY Service Mesh provides common MCP servers with one unified endpoint, enabling additional features for your AI clients.
