LLM Red-Team Scanner
35-probe LLM/agent security red-team scan (injection, jailbreak, MCP abuse) with report.
我該用這個嗎
品質與安全性
發現項目（1）
- LOWTool 'run_free_scan' description lacks action verb在 run_free_scan 中
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"llm-red-team-scanner": {
"url": "https://llmrt-companion.manhliemcn4euwlu.workers.dev/mcp"
}
}
}遠端端點
https://llmrt-companion.manhliemcn4euwlu.workers.dev/mcpstreamable-http它能做什麼
工具清單
工具（4）
⚪run_free_scan(spec)
Free LLM red-team scan: 8 adversarial probes (jailbreak/prompt-injection/system-prompt-extraction/tool-abuse) against your agent or system prompt. Returns 0-100 risk score + level + full report in ~35s.
輸入結構描述
{
"type": "object",
"properties": {
"spec": {
"type": "string",
"description": "Your agent / system prompt (>=20 chars)"
}
},
"required": [
"spec"
]
}🟢get_scan_result(job_id)
Poll a scan by job id (returned by run_free_scan) until status=done.
輸入結構描述
{
"type": "object",
"properties": {
"job_id": {
"type": "string"
}
},
"required": [
"job_id"
]
}🟢get_pricing
PRO pricing & payment info: 24 probes / 9 attack classes / 0-100 score / CI gate, 3 USDT (ERC-20 or Lightning).
輸入結構描述
{
"type": "object",
"properties": {}
}🟢get_purchase_flow
Machine-readable autonomous purchase procedure: how an agent pays 3 USDT and receives the PRO download with no human in the loop (callback push + poll fallback).
輸入結構描述
{
"type": "object",
"properties": {}
}社群
證據