LLM Red-Team Scanner
35-probe LLM/agent security red-team scan (injection, jailbreak, MCP abuse) with report.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'run_free_scan' description lacks action verbin run_free_scan
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"llm-red-team-scanner": {
"url": "https://llmrt-companion.manhliemcn4euwlu.workers.dev/mcp"
}
}
}Remote endpoints
https://llmrt-companion.manhliemcn4euwlu.workers.dev/mcpstreamable-httpWhat it can do
Tool inventory
Tools (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.
Input Schema
{
"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.
Input Schema
{
"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).
Input Schema
{
"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).
Input Schema
{
"type": "object",
"properties": {}
}Community
Evidence