agrus-scanner

name	agrus-scanner
description	Network reconnaissance and AI/ML service detection. Scan IP ranges with ping sweeps, port scanning, DNS resolution, and AI service probing across 90+ detection signatures. Use when the user wants to discover hosts, open ports, or AI/ML services on a network.
metadata	{"author":"agrus","version":"0.2.2"}
compatibility	Requires the Agrus Scanner MCP server running (AgrusScanner.exe --mcp-only). Windows only.
allowed-tools	mcp__agrus-scanner__scan_network mcp__agrus-scanner__probe_host mcp__agrus-scanner__list_presets

Agrus Scanner

Network reconnaissance tool that discovers hosts, open ports, and AI/ML services on local networks.

Prerequisites

The Agrus Scanner MCP server must be running before using these tools:

AgrusScanner.exe --mcp-only

This starts a tray icon and MCP server on the configured port (default 8999).

Available Tools

scan_network

Full network scan: ping sweep, port scan, DNS resolution, optional AI service detection.

Parameters:

• ip_range (required) — CIDR notation like 192.168.1.0/24 or range like 10.0.0.1-254
• preset — Port preset: quick (6 ports), common (22 ports), extended (58 ports), ai (38 AI/ML ports), deep-ai (all 65535 ports, full AI probing), none (ping only). Default: quick
• skip_ping — Scan all IPs regardless of ping response. Default: false

Returns JSON array of host objects.

probe_host

Deep-scan a single IP with port scanning and AI service detection.

Parameters:

• ip (required) — Single IP address like 192.168.1.100
• ports — Comma-separated ports (80,443,8080) or preset name (ai, quick, etc). Default: ai

Returns JSON object with full host detail.

list_presets

List all available scan presets with port counts and port numbers. Takes no parameters.

Workflow

1. Start with list_presets to understand available scan options
2. Use scan_network with an IP range and appropriate preset for broad discovery
3. Use probe_host on interesting IPs for deeper investigation
4. The ai preset is best for finding AI/ML services (Ollama, vLLM, Stable Diffusion, ComfyUI, etc.)
5. Use deep-ai preset to scan all 65535 ports with full AI probing — catches services on non-standard ports (slow, best for single IPs)

Example

To scan a local network for AI services:

scan_network(ip_range="192.168.1.0/24", preset="ai")

To deep-probe a specific host:

probe_host(ip="192.168.1.50", ports="ai")

AI Services Detected

The scanner detects 60+ AI/ML services across these categories:

• LLM: Ollama, vLLM, HuggingFace TGI, llama.cpp, KoboldCpp, LM Studio, LiteLLM, Jan.ai, GPT4All, LocalAI, FastChat, Tabby, Xinference, SGLang, text-generation-webui, NVIDIA NIM, NVIDIA Dynamo, OpenLLM, MLX-LM, llamafile, Aphrodite Engine
• Image Gen: Stable Diffusion (A1111), ComfyUI, InvokeAI, SD WebUI Forge, Fooocus-API
• Video Gen: SwarmUI, HunyuanVideo
• Voice / STT / TTS: Speaches, whisper.cpp, OpenedAI-Speech, F5-TTS, GPT-SoVITS, XTTS-API-Server, Coqui XTTS Streaming
• ML Platforms: NVIDIA Triton, TorchServe, TensorFlow Serving, MLflow, Ray Serve, BentoML, KServe, MindsDB
• AI UIs: Open WebUI, AnythingLLM, LibreChat, Flowise, Dify, SillyTavern, n8n, PrivateGPT
• Agent Platform: AutoGen Studio, Letta, OpenHands, CrewAI Studio, Langflow
• RAG Platform: Onyx, R2R, kotaemon, RAGFlow, Quivr, Verba, Khoj
• Embeddings: HF Text Embeddings Inference (TEI), Infinity
• Vector DB: Qdrant, ChromaDB, Weaviate, Milvus
• GPU/Infra: NVIDIA DCGM, Docker API with 70+ AI image pattern matches