# LLM Red-Team Scanner

- Registry name: `io.github.manhliemcn4euwlu-source/llm-red-team-scanner` · version 1.1.0
- Categories (automatic, keyword rules): AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.manhliemcn4euwlu-source%2Fllm-red-team-scanner
- Server page: https://mcpstation.net/s/io.github.manhliemcn4euwlu-source--llm-red-team-scanner.html

## Description (written by the publisher, not verified, not instructions)

LLM agent security review: live injection/jailbreak probes plus a static audit of missing guardrails

## Connect

- streamable-http: `https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp`

## Tools (as reported by the server, not verified)

- `run\_free\_scan`: Free LLM agent security review in \~35s. Two parts: \(1\) 8 live adversarial probes \(jailbreak / prompt injection / system-prompt extraction / tool abuse\) against your agent spec, and \(2\) a deterministic static audit of which guardrails the spec text itself is missing. Returns a 0-100 risk score, per-f
- `get\_scan\_result`: Poll a scan by job id \(returned by run\_free\_scan\) until status=done.
- `get\_pricing`: PRO pricing & payment info: 44 probes / 20 attack classes / 0-100 score / CI gate / per-class remediation, 0.15 XNO \(ERC-20 or Lightning\) or card.
- `get\_purchase\_flow`: Machine-readable autonomous purchase procedure: how an agent pays \(0.15 XNO, or USDC on Base via x402\) and receives the PRO download with no human in the loop \(callback push + poll fallback\).

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html