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MCP Guard compared: what each approach is good at
Where a small guard model helps, where another tool is the better choice, and how to layer them. Numbers are our own measurements with their caveats, or cited from public sources.
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- ComparisonApproachesMCP Guard vs an LLM-as-a-judgeA small guard model vs a general LLM judging every agent tool call: cost, latency, calibration, flexibility, and why a cascade of both usually wins.Read
- ComparisonGuard modelsMCP Guard vs saroku-guardTwo 184M DeBERTa guard models for agent actions: saroku-guard is open, local and free; MCP Guard answers nine questions. R-Judge results and caveats.Read
- ComparisonApproachesMCP Guard vs static allowlists and denylistsStatic allow and deny rules are deterministic, free and auditable, but blind to context. Why a guard model complements them, and how to layer the two.Read
- ComparisonGuard modelsMCP Guard vs Prompt Guard and other prompt-injection classifiersPrompt-injection classifiers like Llama Prompt Guard 2 scan text; MCP Guard judges the tool call an agent is about to make. Different jobs, best used together.Read
- ComparisonGuard modelsMCP Guard vs Llama GuardLlama Guard moderates prompts and responses against a hazard taxonomy; MCP Guard judges agent tool calls before they run. How they differ and when to use each.Read