Repello-AI/mcp-exploit-demo

The project serves as a critical but transient security artifact. It demonstrates how the Model Context Protocol (MCP), recently popularized by Anthropic, can be subverted if tool-calling permissions are not strictly scoped. With only 23 stars and 8 forks, it has low adoption as a tool but high value as a research reference. The defensibility is low because the project is a vulnerability demo (PoC) rather than a defensive product; once the underlying protocol or specific server implementations (like those from Anthropic or community-led projects like 'mcp-get') implement stricter sandboxing or 'human-in-the-loop' confirmations, this exploit becomes obsolete. Frontier labs (Anthropic, OpenAI) are the primary stakeholders here; they are actively hardening MCP to ensure its enterprise viability, making the risk to this project's relevance high. It competes indirectly with security auditing firms and automated LLM red-teaming platforms like Giskard or Lakera, but as a standalone repo, it lacks a moat. The 359-day age suggests it may have predated the official Anthropic MCP branding or was recently repurposed to target the protocol as it gained traction.