Your AI Agent Has Access to Everything. Who's Watching What It Sends?

Your AI Agent Has Access to Everything. Who's Watching What It Sends? I'm going to be honest about something: I built mistaike.ai with AI agents (Claude coordinates, Gemini implements), and during that process, one of them tried to send a production database password to an external MCP tool. The DLP pipeline I was building caught it. If it hadn't existed, that credential would have been forwarded to a third-party server. That's not a hypothetical. That's a Tuesday. The Problem Is Real and Documented The Model Context Protocol (MCP) is how AI agents connect to tools. Claude Code, Cursor, Windsurf, Copilot — they all use it. When your agent calls a tool, it sends a JSON payload containing whatever context it thinks is relevant. And agents are not careful about what they include. The security research is piling up: Invariant Labs (May 2025) demonstrated that a malicious GitHub issue — just text in a public repo — could hijack an AI agent into reading private repositories and exfiltrating