Klavis Guardrails is a comprehensive security layer designed to protect MCP (Model Context Protocol) integrations from emerging threats. It operates as an intelligent proxy between MCP clients and servers, providing real-time threat detection and policy enforcement.
MCP’s architecture amplifies security risks by exposing tools, resources, and prompts directly to AI agents. Recent vulnerabilities demonstrate critical flaws:
Prompt Injection via Tool Descriptions: Malicious instructions embedded in MCP tool metadata
Cross-Repository Information Leakage: Agents coerced into accessing private repositories
Klavis Guardrails operates as a security proxy that intercepts, analyzes, and enforces policies on all MCP communication in real-time with four key protection mechanisms:Tool Poisoning Detection: Monitors MCP tool metadata using behavioral analysis to identify when tools deviate from declared functionality.Prompt Injection Prevention: Uses advanced NLP to analyze prompts for malicious instructions, detecting sophisticated attacks before they reach the model.Privilege Escalation Monitoring: Enforces granular access controls ensuring MCP servers operate under least privilege principles.Command Injection Mitigation: Performs deep inspection of tool invocations with strict allowlists and input sanitization.