Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
MCP server for threat intelligence analysis
FastMCP ThreatIntel connects an agent to threat-intelligence sources through MCP and a standalone CLI. It looks up indicators such as IPs, domains, URLs, and hashes, then returns analysis, attribution hints, and reports in formats like HTML, JSON, and STIX.
Builders who want their agent to inspect suspicious indicators and return threat-intel findings.
You can ask an MCP-capable agent to investigate IOCs without switching between separate threat-intelligence sites.
What it does
Multi-source IOC analysis
Checks IPs, domains, URLs, and file hashes against VirusTotal, AlienVault OTX, AbuseIPDB, and IPinfo.
Natural-language threat hunting
Lets you query threats in plain English and auto-detect common indicator types.
APT attribution and MITRE mapping
Adds confidence-scored attribution and MITRE ATT&CK context to findings.
Interactive and batch CLI
Supports single IOC analysis, batch file analysis, and interactive sessions through `threatintel`.
MCP server integration
Exposes the threat-intel engine to Claude Desktop, VS Code Roo-Cline, and other MCP clients.
Report exports
Generates Markdown, JSON, HTML, STIX, PDF, and CSV outputs for sharing or downstream use.
How to get it
- 1Run
# 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
- 2Run
# 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 - 3Run
# 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
- 4Run
"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]"
README
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
Files in the repo
- .git_disabled
- .github
- docs
- scripts
- src
- tests
- .gitignore
- .pre-commit-config.yaml
- CHANGELOG.md
- codecov.yml
- docker-compose.yml
- Dockerfile
- mkdocs.yml
- poetry.lock
- pyproject.toml
- README.md
- uv.lock
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