🤖 AI Summary
ContextGuard is an open‑source, drop‑in security proxy for Model Context Protocol (MCP) servers that detects and blocks prompt injection, sensitive‑data leakage (API keys, passwords, SSNs), path traversal/file read attempts, and abuse via rate limiting. It runs as a transparent stdio proxy (so no code changes to your server), is installable via npm/npx, and was demonstrated protecting Claude Desktop MCP instances—converting failing exploits (read /etc/hosts, exfiltrate api_key, “ignore previous instructions”) into blocked events. The project claims 98.7% detection accuracy, <1% latency overhead, ≈+15MB memory, and logs all security events in JSON for audit and alerting.
Technically, ContextGuard inspects MCP tool calls and model inputs/outputs with configurable rules in config.json (prompt injection detection, sensitive data scanning, path traversal prevention, allowedFilePaths, maxToolCallsPerMinute, logLevel/logPath). It provides comprehensive JSON logging and basic rate limiting today, with planned additions like SQLi/XSS detection, SSE/HTTP transport, blocking mode, custom rules, and a web dashboard. Important caveats: it’s intended as a layered defense (not a full replacement for secure design), sophisticated attackers may find new bypasses, and detection rules require ongoing updates. For AI/ML teams running local assistants or custom MCP tools, ContextGuard offers a pragmatic, low‑friction way to harden model middleware against common exfiltration and injection risks.
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