Everyone is rushing to build Model Context Protocol (MCP) servers in Next.js 16. Giving AI coding agents like Cline or Claude direct read/write access to your local filesystem feels like a superpower.
Until it gets hijacked.
There is a massive security blind spot in how these agents parse context, and it's called Clinejection.
Read the full patch guide: Next.js 16 MCP Security: Fixing the Clinejection Vulnerability →
If you aren't aggressively sanitizing the data your MCP server feeds back to the LLM, a poisoned database entry or a rogue log file can overwrite the agent's system instructions. Suddenly, your helpful AI assistant is silently exposing your .env variables or executing unauthorized terminal commands on your behalf.
I just published a complete technical breakdown on how to patch the Clinejection vulnerability before it compromises your repository.
Inside the new guide, I cover the exact code you need to push:
- The Anatomy of a Clinejection: How poisoned data forces the AI to break out of its operational sandbox.
- Strict Context Sanitization: The exact Next.js 16 middleware required to strip malicious prompt-injections from your MCP payloads.
- Resource Sandboxing: How to configure hard limits so your AI agents physically cannot touch sensitive directories.
Stop trusting raw context windows. Lock down your infrastructure.
Read the full patch guide: Next.js 16 MCP Security: Fixing the Clinejection Vulnerability →
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