AptLynxMCP server
LLM Red-Team Scanner
io.github.manhliemcn4euwlu-source/llm-red-team-scanner
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
LLM agent security review: live injection/jailbreak probes plus a static audit of missing guardrails
Working at last checkAbout 369 tokens per request once connected4 tools
https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 369 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http llm-red-team-scanner https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.llm-red-team-scanner] url = "https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp"
Gemini CLI
{"mcpServers":{"llm-red-team-scanner":{"httpUrl":"https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp"}}}
Cursor
{"mcpServers":{"llm-red-team-scanner":{"url":"https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp"}}}
VS Code
{"servers":{"llm-red-team-scanner":{"type":"http","url":"https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp"}}}
Antigravity
agy mcp add llm-red-team-scanner https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"llm-red-team-scanner","server_url":"https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"llm-red-team-scanner","server_url":"https://qdmbzzwftor2rgmxupyyasguhy.srv.us/mcp"}
Tools
get_pricing~67 tokens
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~82 tokens
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).get_scan_result~60 tokens
Poll a scan by job id (returned by run_free_scan) until status=done.run_free_scan~160 tokens
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
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