Developers are rapidly connecting autonomous AI coding assistants (Cursor, Claude Desktop, Windsurf, Zed, or custom LLM ...

Developers are rapidly connecting autonomous AI coding assistants (Cursor, Claude Desktop, Windsurf, Zed, or custom LLM frameworks) directly to local systems via the Model Context Protocol (MCP).While giving AI access to terminal execution, filesystem tools, and databases dramatically accelerates software development, it introduces a severe, unmonitored security vulnerability: AI tools execute locally as opaque black boxes.A single hallucinated command like rm -rf / or DROP TABLE users;, or sensitive production credentials leaked in outgoing tool arguments via prompt injection, can corrupt entire codebases or compromise critical infrastructure in seconds.To solve this foundational security blindspot, I built and open-sourced MCPBouncer — a zero-dependency, local-first desktop action firewall and live packet inspector for MCP. 🛑 The Core Problem: Autonomous AI Agents Have Too Much Local PowerWhen AI assistants interact with local developer environments via standard MCP servers (filesyst...