kummahiih/secure-claude

This is a personal experiment with zero adoption signals (0 stars, 0 forks, 25 days old, no velocity). The core idea—wrapping Claude in a Docker container with MCP support for tool access—is a straightforward application of existing patterns: (1) Anthropic's own Claude examples already demonstrate MCP integration, (2) containerizing LLM agents is a commodity pattern, (3) tool-use sandboxing is standard practice in AI systems. The project adds no novel architecture, novel MCP implementation, or domain-specific hardening beyond basic containerization. Frontier labs (Anthropic, OpenAI) are actively building agent frameworks with tool integration (Claude with tools, GPT-4 with function calling); they would not need to integrate this specific project. The implementation appears to be a reference implementation at best, not a production system with moat-building features like: distributed execution, novel sandboxing techniques, proprietary tool libraries, or measurable security advantages over Anthropic's own guidance. No evidence of adoption, real-world hardening lessons, or specialized use-case solving. A junior engineer could replicate the core idea in a weekend using Anthropic's documentation.