AynOps

AynOps

AI-powered cybersecurity reconnaissance platform that allows users to perform threat analysis and ethical scanning of domains via natural language, with policy enforcement and audit logging.

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README

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🛡️ AynOps

AI-Powered Cybersecurity Reconnaissance Platform

Python FastMCP ArmorIQ License Hackathon

Talk to Claude. Get a full threat intelligence report. Ethically enforced. Audit-ready.

Features • Architecture • Quick Start • Demo • Team

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The Problem

Security reconnaissance requires 6+ different tools, hours of manual work, and deep CLI expertise. Junior analysts miss critical correlations. There's no ethical enforcement preventing unauthorized scans. And there's zero audit trail for compliance.

The Solution

AynOps is a Model Context Protocol (MCP) server that gives Claude real-time cybersecurity reconnaissance capabilities — wrapped with ArmorIQ policy enforcement and cryptographic audit logging.

You type in plain English. AynOps handles the rest.

"Run a threat analysis on example.com"

→ ArmorIQ verifies the target is authorized
→ 10 recon tools run in parallel
→ Claude correlates findings across all tools
→ Structured threat report with risk score and remediation roadmap
→ Every action logged to ArmorIQ's tamper-proof audit trail


What Makes AynOps Different

Traditional Tools (Nmap, Shodan) AynOps
Interface CLI expertise required Plain English conversation
Analysis Raw data dumps AI-correlated threat intelligence
Ethics No enforcement ArmorIQ policy gate on every call
Audit Manual logging Cryptographic audit trail (automatic)
Speed Run tools one by one 10 tools in parallel
CVEs Separate lookup Auto-triggered from detected software

Features

🔍 10 Recon Tools

Tool Capability
whois_lookup Domain owner, registrar, expiry, name servers
dns_enumeration DNS records + subdomain brute-force
port_scan Nmap-powered — ports, services, version detection
ssl_inspect SSL cert issuer, expiry, cipher, TLS version
tech_stack_detect Web server, CMS, CDN, JS frameworks, security headers
cert_transparency Subdomain discovery via CT logs
asn_lookup ASN, ISP, org, geolocation for any IP/domain
ip_reputation AbuseIPDB malicious IP check
cve_lookup NVD database — CVEs by software + version
full_recon All tools in parallel — one command, complete picture

🧠 AI Threat Correlation (run_threat_analysis)

Unlike full_recon which summarizes each tool separately, run_threat_analysis instructs Claude to correlate findings across all tools together:

  • Connects detected software versions directly to CVEs
  • Links SSL expiry to open HTTPS ports as a compound risk
  • Combines missing headers with detected CMS for exploit surface analysis
  • Outputs a structured report: Executive Summary → Critical Findings → Risk Score (0–100) → Remediation Roadmap

🛡️ ArmorIQ Ethical Enforcement

Every sensitive tool call is gated through ArmorIQ:

  1. capture_plan — cryptographically signs Claude's intent before any tool runs
  2. get_intent_token — mints a short-lived signed token (prevents prompt injection)
  3. Policy enforcement — unauthorized targets are blocked before your MCP server is ever reached
  4. Audit trail — every ALLOW/BLOCK decision logged automatically to platform.armoriq.ai
You: "scan google.com"
ArmorIQ: ❌ BLOCKED — target not in authorized scope
         Audit ID: AQ-0012 | Logged to platform.armoriq.ai

Architecture

User (Claude Desktop)
        │
        ▼
   Claude AI
   (parses intent, decides which tools to call)
        │
        ▼
 ArmorIQ Policy Gate
 (capture_plan → get_intent_token → verify)
        │
   ┌────┴────┐
   │         │
ALLOW      BLOCK → logged, user notified
   │
   ▼
AynOps MCP Server (streamable-http)
        │
   ┌────┴─────────────────────────┐
   │  Wave 1 (parallel)           │
   ├── whois_lookup               │
   ├── dns_enumeration            │
   ├── port_scan (Nmap)           │
   ├── ssl_inspect                │
   ├── tech_stack_detect          │
   ├── asn_lookup                 │
   ├── cert_transparency          │
   └── headers_analyzer           │
        │                         │
   ┌────┴──────────────┐          │
   │  Wave 2 (parallel)│          │
   ├── cve_lookup       │         │
   └── ip_reputation    │         │
        └──────────────────────────┘
        │
        ▼
 threat_analysis_tool
 (extract_signals + correlation instructions)
        │
        ▼
 Claude generates correlated
 Threat Intelligence Report
        │
        ▼
 ArmorIQ Audit Log
 (tamper-proof, platform.armoriq.ai)

Tech Stack

Layer Technology
AI Interface Claude (Anthropic) via MCP
MCP Framework FastMCP 3.3+ (streamable-http transport)
Language Python 3.12+
Port Scanning Nmap
Recon Libraries python-whois, dnspython, ssl, requests
CVE Database NVD (National Vulnerability Database)
IP Reputation AbuseIPDB
ASN / Geo ipapi.com
Ethical Layer ArmorIQ Python SDK
Containerization Docker
Deployment Railway (cloud)

Quick Start

Prerequisites

1. Clone & Install

git clone https://github.com/gaoharimran29-glitch/AynOps-mcp-hackathon
cd AynOps-mcp-hackathon
pip install -r requirements.txt

2. Configure Environment

cp .env.example .env
# Edit .env and add your API keys
ABUSEIPDB_API_KEY=your_key     # abuseipdb.com (free)
IP_API_KEY=your_key            # ipapi.com (free)
ARMORIQ_API_KEY=your_key       # platform.armoriq.ai
ANALYST_EMAIL=you@domain.com   # your identity in audit logs

3. ArmorIQ Setup

pip install armoriq-sdk
armoriq login

Then register your server on platform.armoriq.ai → MCP Servers.

4. Run Server

# HTTP mode (for Claude Desktop remote connection / Railway deployment)
uv run server.py

# Local stdio mode (for quick local testing)
fastmcp run server.py

5. Connect Claude Desktop

{
  "mcpServers": {
    "cybersecurity": {
      "type": "streamable-http",
      "url": "http://localhost:8000/mcp"
    }
  }
}

Demo

Authorized Scan

You: "run threat analysis on testphp.vulnweb.com"

ArmorIQ: ✅ Target authorized — intent signed (AQ-0001)

[10 tools run in parallel...]

Claude: 
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🛡️ AynOps Threat Intelligence Report
Target: testphp.vulnweb.com
Risk Score: 87/100 — CRITICAL
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Executive Summary:
testphp.vulnweb.com presents a critically vulnerable attack surface.
Apache 2.4.49 is running on ports 80 and 443, affected by
CVE-2021-41773 (CVSS 9.8) — remote code execution with no auth.
SSL cert expires in 12 days, compounding the exposure window.

🔴 Critical Findings:
• CVE-2021-41773 on Apache 2.4.49 — path traversal → RCE
• SSL expiry in 12 days + HTTPS on port 443 — compound risk

Remediation:
Immediate: Patch Apache to 2.4.51+, renew SSL cert
This week: Add missing security headers (CSP, X-Frame-Options)

Unauthorized Scan (ArmorIQ Block)

You: "scan google.com"

❌ BLOCKED by ArmorIQ Policy Gate
Target  : google.com
Reason  : Target not in authorized scope
Audit ID: AQ-0002
Logged  : platform.armoriq.ai/audit-logs

Audit Trail

You: "show audit log"

✅ AQ-0001 | run_threat_analysis | testphp.vulnweb.com | ALLOW | gaohar@aynops.local
❌ AQ-0002 | port_scan           | google.com          | BLOCK | gaohar@aynops.local

2 operations: 1 allowed, 1 blocked.
Full trail: platform.armoriq.ai

Deployment (Railway)

npm install -g @railway/cli
railway login
railway init
railway up

Set environment variables in Railway dashboard → Variables tab.
Never commit API keys to your repository.


Team

Unit313 — NeuroX Hackathon 2026

Member Role College
Gaohar Imran Team Lead Delhi University
Mohd Ali Team Member Maharaja Surajmal Institute of Technology

License

MIT — see LICENSE


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AynOps — because security intelligence shouldn't require a PhD in CLI tools.

⭐ Star this repo if you found it useful

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