All servers · AI models & agents
LLM Red-Team Scanner
io.github.manhliemcn4euwlu-source/llm-red-team-scanner · v1.1.0
New (7 days)
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 4 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
LLM agent security review: live injection/jailbreak probes plus a static audit of missing guardrails
Connect
streamable-http · https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp
claude mcp add --transport http llm-red-team-scanner https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp{
"mcpServers": {
"llm-red-team-scanner": {
"url": "https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp"
}
}
}Tools as reported by the server
run_free_scanFree 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-fget_scan_resultPoll a scan by job id (returned by run_free_scan) until status=done.get_pricingPRO 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_flowMachine-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).
Website · JSON · Text for agents · Registry updated 2026-10-26