Agrus Scanner
Detects BentoML ML platform instances on the network, identifying their presence and extracting model serving details.
Detects CrewAI Studio agent platform instances on the network.
Detects and enumerates Docker containers via exposed Docker API, matching 70+ AI image patterns to identify AI services.
Detects Gradio applications running on the network.
Detects Home Assistant MCP servers, reporting name, version, and available tools/resources/prompts.
Detects Langflow agent platform instances on the network.
Detects Milvus vector database instances on the network.
Detects MLflow ML platform instances on the network.
Detects n8n AI platform instances on the network.
Detects NVIDIA GPU infrastructure including DCGM exporters, Triton inference servers, NIM, and Dynamo, and probes for GPU and inference metrics.
Detects Ollama LLM service instances and retrieves model names and versions.
Detects Ray Serve ML platform instances on the network.
Detects TensorFlow Serving instances on the network.
Agrus Scanner
Network reconnaissance tool with deep AI/ML service detection. Scans your network to discover hosts, open ports, and identifies AI services running across your infrastructure.
Built for security teams, IT admins, and researchers who need visibility into shadow AI, rogue LLM deployments, and GPU infrastructure on their networks.
Why
There is a growing concern for shadow AI, and this provides a simple way to scan networks. Also many of the typical scanning tools for windows are slow and have poorly written interfaces, specifically for anyone running a 4k+ monitor. Agrus Scanner is built in native C#/.NET with WPF — no Electron, no embedded browser — so it launches fast, scans fast, and stays light on resources. I've been tired of trying to read tiny print so when a friend/client was looking for a way to scan for shadow AI, and without any windows type tool available, it seemed like a natural fit together.
It also works as a straightforward network scanner — ping sweeps, port scanning, and hostname resolution are all built in. You don't need a separate tool for basic recon. But where Agrus really stands out is AI detection: it goes beyond port scanning by actively probing discovered services with AI-specific API calls, pulling back model names, GPU details, container info, and version data. If someone on your network is running an AI service, Agrus finds it and tells you exactly what it is.
It also runs as an MCP server, so AI agents like Claude Code and OpenClaw can use it as a tool — scan networks, probe hosts, and pull back results autonomously. Point your agent at the endpoint and it handles the rest.

Related MCP server: Network Scanner MCP
Install
Download the latest installer from Releases, or directly:
AgrusScanner-Setup-1.0.2.msi — self-contained, no .NET runtime needed.
Also available on the Microsoft Store. Or visit the Tools page for the download link, checksum, and winget install command.
Requires Windows 10/11. The installer and the installed binaries are Authenticode-signed (Azure Trusted Signing, publisher Joseph Fago). Once installed, detection signatures keep themselves current; you only need a new installer when the app itself changes.
What's New
Signatures — October 2026
VoiceStudio detection (Voice / STT / TTS) — fully-local, open-source ElevenLabs alternative (voice cloning, dubbing, transcription, audiobooks); identified via its
/.well-known/voicestudio-speechdiscovery endpoint on its distinctive default port 3900Probe catalog grows to 115 definitions; signatures ship automatically through the rolling feed — no app update needed
Signatures — September 2026
Agent Zero detection (Agent Platform) — Docker-first autonomous agent framework, fingerprinted via its web UI's root page title on its distinctive default port 50001
Hayhooks (Haystack) detection (RAG Platform) — deepset's REST/MCP pipeline server for Haystack, identified via its
/statusendpoint on its distinctive default port 1416Typesense detection (Vector DB) — typo-tolerant search engine with vector/hybrid search, increasingly used as a RAG backend; identified via
/healthon its distinctive default port 8108Probe catalog grows to 114 definitions; signatures ship automatically through the rolling feed — no app update needed
Features
Ping Sweep - Fast ICMP discovery across subnets (256 concurrent)
Port Scanning - TCP connect scan with preset profiles (Quick, Common, Extended, AI, Deep AI)
AI Service Detection - 115 probe definitions identifying 70+ AI/ML services and MCP servers
Self-updating Signatures - detection definitions arrive automatically through a signed feed; no reinstall for new services
Docker Container Enumeration - Detects AI containers via exposed Docker API
GPU Infrastructure - Finds NVIDIA DCGM exporters and inference metrics
Export Results - Save scan results to CSV or TXT via the toolbar EXPORT button
Real-time Results - Live-updating UI as scan progresses
MCP Server - Expose scanning tools to AI agents via Model Context Protocol
Agent Skills - Works with Claude Code, OpenClaw, Cursor, and other AgentSkills-compatible tools
AI Detection Categories
Category | Services Detected |
LLM | Ollama, vLLM, HF 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, llama-swap, LMDeploy, exo, TabbyAPI |
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, Kokoro-FastAPI, Chatterbox-TTS-Server, VoiceStudio |
ML Platform | NVIDIA Triton, TorchServe, TensorFlow Serving, MLflow, Ray Serve, BentoML, KServe, MindsDB |
AI Platform | Open WebUI, AnythingLLM, LibreChat, Flowise, Dify, SillyTavern, n8n, PrivateGPT, Gradio apps |
Agent Platform | AutoGen Studio, Letta, OpenHands, CrewAI Studio, Langflow, OpenClaw, Agent Zero |
RAG Platform | Onyx, R2R, kotaemon, RAGFlow, Quivr, Verba, Khoj, Hayhooks (Haystack) |
Embeddings | HF Text Embeddings Inference (TEI), Infinity |
Vector DB | Qdrant, ChromaDB, Weaviate, Milvus, Typesense |
MCP Server | Any MCP server over Streamable HTTP ( |
GPU Infra | NVIDIA DCGM Exporter, Triton Metrics, TorchServe Metrics |
Container | Docker API with 70+ AI image pattern matches |
Detection goes beyond port scanning - the prober queries service-specific API endpoints, extracts model names, versions, GPU info, and container details.
Detection Signatures
Starting with 1.0, what Agrus can detect is separate from the app itself, the same way an antivirus separates its engine from its definitions.
How it works
Every probe, AI port preset entry, and Docker image pattern lives in one catalog. A copy is built into each release as the baseline, so the app works fully offline.
New signatures are published to the
signaturesfeed on GitHub, typically weekly as new AI services appear. The app checks the feed a few seconds after launch and once a day after that.The active signature version and probe count are shown in Settings and the help popup, and in the status bar when an update is available. Versions are dated, e.g.
2026.09.22.1.
Your choices (Settings → Updates → Detection signatures)
Mode | Behavior |
Auto-install (default) | New signatures download and activate silently and apply from the next probed host onward |
Notify only | A link appears in the status bar; click it to install |
Off | Never contacts the feed; the built-in baseline is used |
How it stays safe
Each package is signed in CI with a private key that exists only as a GitHub Actions secret. The app carries the matching public key and refuses any package that fails verification, is older than what is already active, needs a newer app version, or fails structural checks (no duplicates, no shrinking, valid categories).
A signature package can only add or refine detection. It cannot add code, change what ports are scanned outside the AI preset, or make the scanner send anything other than the fixed set of read-only discovery requests (POST is limited to MCP
initialize/server/discover/ping).If a downloaded file is tampered with, corrupted, or served by the wrong host, it is discarded and the last good set stays active. Nothing is ever loaded from disk without the same checks.
What still needs an app update
Rich detail extraction for a brand-new service (model lists, GPU names) is code, so a signature can label a service before the next release shows its details. Engine, UI, and MCP-tool changes are also app releases, which the existing update check announces.
Contributing a signature
Add an entry to signatures/catalog.json and open a pull request; the catalog gates in CI validate it and, once merged, the feed publishes automatically. Details are in docs/DEVELOPER.md.
Usage
GUI Mode
Enter an IP range (CIDR, range, or single IP)
Select a scan preset:
Quick - 6 common ports
Common - 22 well-known ports
Extended - 58 service ports
AI Scan - 47 AI/ML-specific ports with service probing
Deep AI Scan - All 65535 ports with full AI probing (slow but complete)
No port scan - Ping sweep only
Click START
After scanning, click EXPORT to save results as CSV or TXT
AI Scan results show detected services with extracted details:
[LLM] Ollama :11434 (llama3, mistral) | [GPU Infra] NVIDIA DCGM :9400 (RTX 4090)MCP Server Mode
Run the scanner as a headless MCP server with a system tray icon:
AgrusScanner.exe --mcp-onlyThis starts a Streamable HTTP MCP server on http://localhost:8999/mcp (port configurable in settings). AI agents can then call the scanning tools directly.
Security note: The MCP server binds to
localhostonly and validates Host headers to block DNS rebinding attacks. Only processes on your own machine can connect. Do not expose this server to the network via reverse proxy or tunnel without adding your own auth layer.
MCP Tools:
Tool | Description |
| Ping sweep + port scan + DNS + AI probing across an IP range |
| Deep-scan a single IP with port scan and AI detection |
| Write the last scan or probe results to a JSON or CSV file |
| List available scan presets with port counts |
Headless MCP Server (Docker / stdio)
AgrusScanner.McpServer is a cross-platform console build of the same MCP tools, with no UI or Windows dependency. It shares the scanning engine and tool definitions with the desktop app through linked sources, so both expose an identical tool surface.
# stdio transport (what MCP clients launch; default)
dotnet run --project AgrusScanner.McpServer
# Streamable HTTP on 127.0.0.1:8999/mcp
dotnet run --project AgrusScanner.McpServer -- --http 8999HTTP mode binds to loopback and checks Host and Origin headers, like the desktop app. Pass --bind 0.0.0.0 to listen on all interfaces (the default inside a container). A non-loopback listener refuses to start unless MCP_TOKEN is set, which makes every request require Authorization: Bearer <token>; --no-auth overrides that check and is not recommended.
A Dockerfile at the repo root builds it into a container:
docker build -t agrus-mcp .
docker run -i --rm agrus-mcp # stdio
docker run --rm -p 8999:8999 -e MCP_TOKEN=secret agrus-mcp --http # HTTP at http://localhost:8999/mcpThe image runs as a non-root user. Scanning your LAN from inside a container requires host networking (--network host on Linux) so the scanner can reach the subnet. Inside a container the server binds to all interfaces so Docker's port mapping works, which is why HTTP mode there requires MCP_TOKEN.
AI Agent Integration
Claude Code
The project includes a .mcp.json that connects Claude Code to the scanner. Start the MCP server, then use Claude Code in this project:
// .mcp.json (already included)
{
"mcpServers": {
"agrus-scanner": {
"type": "http",
"url": "http://localhost:8999/mcp"
}
}
}A Claude Code skill is also included at .claude/skills/agrus-scanner/SKILL.md that teaches the agent when and how to use the scanning tools.
OpenClaw
Install the bundled OpenClaw plugin:
openclaw plugins install ./openclaw-pluginConfigure in OpenClaw settings:
{
"plugins": {
"entries": {
"agrus-scanner": {
"enabled": true,
"config": { "mcpUrl": "http://localhost:8999/mcp" }
}
}
}
}Other AgentSkills-Compatible Tools
The skill at .claude/skills/agrus-scanner/SKILL.md follows the open AgentSkills format and works with any compatible agent (Cursor, Gemini CLI, OpenClaw, etc.). Point your tool at the MCP endpoint and the skill provides usage instructions.
Privacy & Updates
Agrus Scanner makes two kinds of outbound requests, both optional and both visible in Settings → Updates:
App update check on startup to
api.jpftech.com, sending only the app version and OS version. No personal data, machine IDs, or IP addresses are stored. Toggle: Check for app updates on startup.Signature feed check to
downloads.jpftech.comon startup and daily, fetching a small manifest and, when newer, the signed package. No identifying data is sent; the server only counts how many checks happen per day, which is what the "Active installs" badge shows. Toggle: Detection signatures → Off.
Scan traffic itself only goes to the IP range you enter. Settings are stored in %LOCALAPPDATA%\AgrusScanner\settings.json; an installed signature package lives alongside it as signatures.agsig.
Security
Hardening carried through to 1.0:
Code signing — MSI, exe, and dll are Authenticode-signed (Azure Trusted Signing); the release pipeline refuses to publish if any signature is missing or invalid
Signed detection feed — signature packages are ECDSA P-256 signed and verified before use; downgrade, oversize, decompression-bomb, and malformed packages are rejected, and a package cannot introduce arbitrary requests (see Detection Signatures)
Bounded probes — streaming (SSE) responses are cut off at 1.5 s / 64 KB; MCP sessions opened during detection are closed immediately and no tools are ever invoked
Input limits — CIDR and range parsing capped at 65,536 addresses to prevent memory exhaustion
Path traversal protection — MCP
export_resultsrestricted to the user's Documents folderDNS rebinding defense — MCP server validates Host headers, rejecting non-localhost requests
Response size cap — HTTP probe responses capped at 1 MB to block memory bombs from malicious servers
CSV injection prevention — Export escapes formula-injection characters (
=,+,-,@)NTLM protection — Removed SMB shell-open to prevent credential disclosure to untrusted hosts
Diagnostic logging — Suppressed exceptions now log to
System.Diagnostics.Tracefor visibilityNo hardcoded secrets — Build signing credentials moved to environment variables
Keyboard Shortcuts
Key | Action |
Ctrl + C | Copy selected IP address |
Ctrl + = | Zoom in |
Ctrl + - | Zoom out |
Ctrl + 0 | Reset zoom |
Ctrl + Scroll | Zoom |
Right-click | Context menu (copy, open services) |
License
MIT License — use at your own risk. See LICENSE for full terms.
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