# About MCP ## What is MCP 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? 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: ## Why DePHY for MCP? 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 DePHY Service Mesh provides common MCP servers with one unified endpoint, enabling additional features for your AI clients. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.dephy.io/service-mesh/ai-mcp-services/about-mcp.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.