camera-rag-agent

The server correctly uses environment variables for sensitive API keys like PINECONE_API_KEY. Input validation is handled implicitly by passing parameters to the Pinecone client's query filters, mitigating direct injection risks in the search logic. The rate limiter adds a layer of protection against abuse. No direct `eval` or `os.system` calls were found with user-controlled input. However, the repository contains a `scripts/clear_pinecone_index.py` utility that can delete all vectors from the Pinecone index; while it includes a user confirmation step, it highlights a powerful and potentially destructive capability in the codebase. The `mcp/chatgpt.md` file also explicitly outlines the broader LLM-level prompt injection and data exfiltration risks when *using* such a server with an AI model, which are inherent to agentic systems and not solely code-level vulnerabilities within the server itself.