MCP

MCP is a protocol that standardizes how AI connects to external tools and data. It is likened to the USB standard for the AI agent ecosystem.

MCP (Model Context Protocol) is an open protocol that unifies the way AI models communicate with external programs, databases, and services. Just as any device works when plugged into a USB port, the concept is that any tool that follows MCP can be connected to any AI in the same way.

Previously, whenever a new tool was attached to AI, a separate linking code had to be created for each service. MCP was released by Anthropic to eliminate this duplication of work, and is rapidly spreading as a standard channel for AI agents to handle emails, files, in-house systems, etc.

However, MCP is only a protocol that determines the connection method and does not guarantee that the connected tools are secure. Connecting to an unverified MCP server may result in security risks such as data leakage or prompt injection, so caution is required.

✅ Why it matters

• Once you create a tool integration, it can be reused in multiple AIs
• It becomes the foundation for the AI agent ecosystem to grow rapidly on a common standard
• It is highly scalable as it is an open protocol that is not dependent on a specific company.

⚠️ Limits and debates

• The protocol does not guarantee the quality and security of the connected server
• The risk of data leakage and abuse of authority through malicious MCP servers is being discussed
• It is still an early standard, so the specifications and ecosystem are constantly changing.