Connecting an LLM to your local development environment via the Model Context Protocol (MCP) is akin to giving a highly intelligent, yet easily confused intern root access to your laptop. The productivity gains are massive, but the security implications are terrifying. If you are running a default MCP implementation that exposes fs.write , exec_command , or generic API fetchers, you are vulnerable. A single indirect prompt injection—hidden text in a webpage, a comment in a PR, or a malicious PDF—can trick the model into exfiltrating your .env file or wiping your database. This guide details how to move beyond basic "human-in-the-loop" confirmations and implement architectural sandboxing for MCP servers using TypeScript and Docker. The Root Cause: The Confused Deputy Problem To secure an MCP server, we must first understand why the vulnerability exists. In cybersecurity, this is known as the Confused Deputy Problem . The MCP server (the deputy) has le...
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