MCP Server Sanitizes LLM Input, Preventing Prompt Injection

This MCP server offers a deterministic approach to sanitizing LLM input, addressing the critical vulnerability of prompt injection. Unlike methods that rely on LLMs for filtering, this server employs regex, string processing, and HTML parsing to remove potentially malicious content before it reaches the LLM. The server provides three tools: `safe_fetch` for sanitizing web pages, `safe_read` for untrusted files, and `safe_exec` for command outputs. These tools target various injection vectors, including hidden elements, dangerous tags, encoded payloads, and structural injection.

The reported 93% average reduction in HTML tokens with zero false positives suggests a high level of effectiveness. However, the long-term success of this server depends on its ability to adapt to evolving injection techniques. Regular updates and improvements are necessary to stay ahead of emerging threats. Furthermore, the server's configuration options allow users to balance security with usability, enabling them to tailor the sanitization process to their specific needs.

Overall, this MCP server represents a significant advancement in LLM security. Its deterministic approach and comprehensive sanitization capabilities offer a robust defense against prompt injection, paving the way for wider adoption of LLMs in sensitive applications.

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