Is MCP a security concern for game developers?

If you have been working with AI tools lately, you have probably seen the term Model Context Protocol, or MCP. It sounds abstract at first, but the idea is actually simple. MCP is a standard that lets AI models connect to tools, data sources, and systems in a structured way. Instead of copying code into a chat window, an AI agent can now read your files, run commands, query APIs, and even modify your project directly. Think of it as a bridge between natural language and real execution. For developers, this is a big deal. It turns AI from a passive assistant into an active participant in your workflow. A short history of MCP and the shift to agentic AI Before MCP, integrations between AI and tools were messy. Every setup was custom. If you wanted your AI to access a database or your codebase, you had to build your own connector. MCP changed that. Introduced in late 2024, it created a shared language between AI systems and external tools. Suddenly, you could plug different tools into dif