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Agent Immune

denial-web/agent-immune

This server brings adaptive security to AI agents through prompt injection detection, semantic memory, and output scanning. It exposes five MCP tools: assess_input evaluates user prompts for injection attempts, assess_output scans responses for credentials and PII, learn_threat adds new attack patterns to semantic memory, harden_prompt wraps system messages with role-lock guards, and get_metrics returns telemetry. The semantic layer catches paraphrased attacks that slip past regex rules by maintaining embeddings of confirmed threats. It ships with 50 curated attack patterns across 11 languages for instant protection, supports circuit breaking for sessions that hit block thresholds, and logs structured JSON events for observability. Reach for this when you need runtime defense that learns from incidents rather than just static rules, especially in agents handling sensitive data or untrusted user input.

tools: 5
transport: STDIO
last updated: Apr 7, 2026

Tools

5 tools

Public tool metadata for what this MCP can expose to an agent.

assess_input

No parameter schema in public metadata yet.

assess_output

No parameter schema in public metadata yet.

learn_threat

No parameter schema in public metadata yet.

harden_prompt

No parameter schema in public metadata yet.

get_metrics

No parameter schema in public metadata yet.

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Readme

agent-immune

Adaptive threat intelligence for AI agent security: semantic memory, multi-turn escalation, output scanning, rate limiting, and prompt hardening — designed to complement deterministic governance stacks (e.g. Microsoft Agent OS), not replace them.

The immune system that governance toolkits don't include: it learns from incidents and catches rephrased attacks that slip past static rules.

Try it now

pip install agent-immune

View the full README on GitHub

Details

Repository: github.com/denial-web/agent-immune
Categories: AI & LLM Tools, Security & Pentesting
Package: agent-immune
Transport: STDIO
Registry: MCP registry, active

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