Fastmcp Threatintel
A comprehensive Model Context Protocol (MCP) server providing enterprise-grade threat intelligence with natural language prompts. Analyze IPs, domains, URLs, and file hashes with advanced attribution and interactive reporting.
Installation
npx fastmcp-threatintelAsk AI about Fastmcp Threatintel
Powered by Claude Β· Grounded in docs
I know everything about Fastmcp Threatintel. Ask me about installation, configuration, usage, or troubleshooting.
0/500
Reviews
Documentation
π‘οΈ FastMCP ThreatIntel - AI-Powered Threat Intelligence
π MCP AI Powered Threat Intelligence - Revolutionizing Cybersecurity Built by Arjun Trivedi (4R9UN) - Enterprise-Grade Threat Intelligence Platform
A comprehensive Model Context Protocol (MCP) server that provides enterprise-grade threat intelligence capabilities through natural language AI prompts. Analyze IPs, domains, URLs, and file hashes across multiple threat intelligence platforms with advanced APT attribution and interactive reporting.

β¨ Why FastMCP ThreatIntel?
π― Purpose-Built for Modern Security Teams
- π€ AI-First Design: Natural language queries with intelligent IOC detection
- π MCP Integration: Seamless integration with Claude Desktop, VSCode (Roo-Cline), and other AI assistants
- β‘ Lightning Fast: UV-powered development with optimized async processing
- π’ Enterprise Ready: Production-grade Docker containers and Kubernetes support
π Multi-Source Intelligence
- VirusTotal: File and URL reputation analysis with 70+ antivirus engines
- AlienVault OTX: Community-driven threat intelligence and IOC feeds
- AbuseIPDB: IP reputation and geolocation with abuse confidence scoring
- IPinfo: Enhanced geolocation, ASN, and infrastructure data
π€ AI-Powered Analysis
- Natural Language Interface: Query threats using plain English
- Advanced APT Attribution: Confidence-scored attribution with MITRE ATT&CK mapping
- Intelligent IOC Detection: Auto-detects IP addresses, domains, URLs, and file hashes
- Context-Aware Reporting: Generates comprehensive threat intelligence reports
π Rich Reporting & Visualization
- Interactive HTML Reports: Modern, responsive design with dark/light modes
- D3.js Network Graphs: Visual IOC relationship mapping
- Multiple Output Formats: Markdown, JSON, HTML, and STIX-compliant outputs
- Export Capabilities: PDF, CSV, and JSON export for integration
π Flexible Deployment Options
- π MCP Server: Direct integration with AI assistants
- π» Standalone CLI: Interactive and batch processing modes
- π³ Docker Container: Production-ready containerization
- π¦ Python Package: Embed in your applications and workflows
ποΈ Architecture
graph TB
A[AI Assistant] --> B[MCP Protocol]
C[CLI Interface] --> D[Core Engine]
B --> D
D --> E[IOC Processor]
D --> F[Attribution Engine]
D --> G[Report Generator]
E --> H[VirusTotal API]
E --> I[OTX API]
E --> J[AbuseIPDB API]
E --> K[IPinfo API]
F --> L[APT Patterns]
F --> M[MITRE ATT&CK]
G --> N[HTML Reports]
G --> O[JSON Export]
G --> P[STIX Output]
π Quick Start
Choose your preferred installation method and get started in minutes:
π pip (Fastest)
# Install from PyPI
pip install fastmcp-threatintel
# Interactive setup wizard
threatintel setup
# Analyze your first IOC
threatintel analyze 8.8.8.8 --output-format table --verbose
π³ Docker (Production Ready)
# Pull and run with your API keys
docker pull arjuntrivedi/fastmcp-threatintel:latest
docker run -e VIRUSTOTAL_API_KEY=your_key \
-e OTX_API_KEY=your_key \
arjuntrivedi/fastmcp-threatintel:latest \
analyze 192.168.1.1
π₯ UV (Developer Recommended)
# Clone and install with UV
git clone https://github.com/4R9UN/fastmcp-threatintel.git
cd fastmcp-threatintel
uv sync
# Run interactive setup
uv run threatintel setup
# Start analyzing
uv run threatintel interactive
π¦ Poetry (Traditional)
# Clone and install with Poetry
git clone https://github.com/4R9UN/fastmcp-threatintel.git
cd fastmcp-threatintel
poetry install
# Activate and run
poetry shell
threatintel analyze example.com --output-format html --open-browser
βοΈ Configuration
π API Keys Setup
Get your free API keys and unlock the full potential:
| Service | Status | Free Tier Limit | Get Your Key |
|---|---|---|---|
| VirusTotal | Required | 1,000 requests/day | Sign Up β |
| OTX | Required | Unlimited | Sign Up β |
| AbuseIPDB | Optional | 1,000 requests/day | Sign Up β |
| IPinfo | Optional | 50,000 requests/month | Sign Up β |
π οΈ Environment Configuration
Create a .env file in your project directory:
# Required API Keys
VIRUSTOTAL_API_KEY=your_virustotal_api_key
OTX_API_KEY=your_alienvault_otx_api_key
# Optional API Keys (for enhanced functionality)
ABUSEIPDB_API_KEY=your_abuseipdb_api_key
IPINFO_API_KEY=your_ipinfo_api_key
# Performance Tuning
CACHE_TTL=3600 # Cache duration (seconds)
MAX_RETRIES=3 # API retry attempts
REQUEST_TIMEOUT=30 # Request timeout (seconds)
π» Usage Examples
CLI Analysis
# Quick single IOC analysis
threatintel analyze 192.168.1.1 --verbose
# Batch analysis from file
threatintel batch iocs.txt --output-file report.html --output-format html
# Interactive threat hunting session
threatintel interactive
# Start MCP server for AI integration
threatintel server --host 0.0.0.0 --port 8000
π MCP Integration
Integrate with AI assistants for natural language threat intelligence:
VSCode with Roo-Cline
{
"mcpServers": {
"threatintel": {
"command": "threatintel",
"args": ["server", "--port", "8001"],
"env": {
"VIRUSTOTAL_API_KEY": "your_key",
"OTX_API_KEY": "your_key"
}
}
}
}
Claude Desktop
{
"mcpServers": {
"threatintel": {
"command": "threatintel",
"args": ["server"],
"env": {
"VIRUSTOTAL_API_KEY": "your_key",
"OTX_API_KEY": "your_key"
}
}
}
}
π Complete MCP Integration Guide β
π― AI Prompt Examples
"Analyze IP 8.8.8.8 for security threats and provide geolocation data"
"Check if domain example.com has any malicious associations"
"Perform comprehensive threat analysis on 185.220.101.1 with APT attribution"
"Generate a security incident report for these IOCs: [list]"
π Documentation
π User Guides
- MCP Integration - Connect with AI assistants
- Python API - Programmatic integration
- Performance Guide - Optimization and scaling
π οΈ Developer Resources
- Development Setup - Contributing and building
- API Reference - Complete API documentation
- Examples Repository - Sample implementations
π What Makes It Special
**π₯ MCP Functionality **
- MCP AI Powered: Cutting-edge threat intelligence automation
- Revolutionizing Cybersecurity: Enterprise-grade AI-powered platform
- Community-Focused: Open source with professional quality
π Production-Ready Features
- Multi-Architecture Docker: ARM64 and AMD64 support
- Kubernetes Ready: Helm charts and deployment manifests
- Comprehensive Testing: 80%+ code coverage with CI/CD pipeline
- Security First: Secure by design with best practices
β‘ Performance Optimized
- Async Everything: Non-blocking I/O for maximum throughput
- Intelligent Caching: Redis-compatible caching layer
- Rate Limiting: Built-in API rate limit management
- Batch Processing: Efficient bulk IOC analysis
π€ Contributing
We welcome contributions from the cybersecurity community!
Quick Start
# Fork and clone
git clone https://github.com/YOUR_USERNAME/fastmcp-threatintel.git
cd fastmcp-threatintel
# Setup development environment
uv sync --dev
uv run pre-commit install
# Make your changes and test
uv run pytest
uv run ruff format . && uv run ruff check .
# Submit your PR
git push origin feature/your-feature
π Complete Contributing Guide β
π License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
π Acknowledgments
Special thanks to the cybersecurity community and these amazing projects:
- FastMCP - Excellent MCP framework foundation
- VirusTotal - Comprehensive malware analysis platform
- AlienVault OTX - Open threat intelligence sharing
- AbuseIPDB - IP reputation and abuse reporting
- MITRE ATT&CK - Threat intelligence framework
π Links & Resources
π Star this repo if you find it useful! π
π Documentation β’ π Report Bug β’ π‘ Request Feature β’ π¬ Discussions
π¦ PyPI Package β’ π³ Docker Hub
Built with β€οΈ by Arjun Trivedi (4R9UN) for the cybersecurity community

