MCP, short for Model Context Protocol, is the hot new standard behind how Large Language Models (LLMs) like Claude, GPT, or Cursor integrate with tools and data. It’s been described as the “USB-C for AI agents.”
It allows agents to:
- Connect to tools via standardized APIs
- Maintain persistent sessions
- Run commands (sometimes too freely)
- Share context across workflows
But there’s one big problem…
And if you’ve plugged your agents into arbitrary servers without reading the fine print — congrats, you may have just opened a side-channel into your shell, secrets, or infrastructure.