Netforensicmcp
About
NetForensicMCP V2.1 is a Model Context Protocol (MCP) server designed to empower Large Language Models (LLMs) with advanced offline network traffic analysis and threat intelligence capabilities. Built on top of Wireshark's tshark, NetForensicMCP provides comprehensive PCAP analys
Details
- Author
- kylecui
- Downloads
- 394
- Categories
- Other, Security
Jump to
- Smart stream analysis with intelligent chunking for large PCAPs
- Threat intelligence integration with URLhaus blacklist checking
- Automated credential extraction across multiple protocols
- High-frequency IP analysis for proactive threat hunting
- Paginated stream content extraction and size estimation
- Legacy live traffic capture for compatibility
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
NetforensicmcpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install Node.js (v16+), Wireshark (tshark in PATH), and clone the repository. Run npm install then node index.js. Configure an MCP client (e.g., Cursor IDE or Claude Desktop) with the path to index.js and the command node.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"netforensicmcp": {
"NetForensicMCP": {
"command": "node",
"args": [
"index.js"
]
}
}
}
}
McpServers
{
"NetForensicMCP": {
"command": "node",
"args": [
"index.js"
]
}
}
NetForensicMCP v2.1
(Formerly WireMCP, Now Focused on Offline Forensic Analysis) > English | 中文 NetForensicMCP (formerly WireMCP) is a Model Context Protocol (MCP) server designed to empower Large Language Models (LLMs) with advanced offline network traffic analysis and threat intelligence capabilities. Built on top of Wireshark'stshark, NetForensicMCP provides comprehensive PCAP analysis tools for cybersecurity professionals, threat hunters, and network forensics investigators.
🚀 Key Features
Core Analysis Engine
- Smart Stream Analysis: Intelligent content chunking to handle large PCAP files without token overflow - Threat Intelligence Integration: Built-in URLhaus blacklist checking with stream correlation - Credential Extraction: Automated detection of plaintext credentials across multiple protocols - High-Frequency IP Analysis: Proactive threat hunting through top communicator identificationAdvanced Tools
-get_summary_stats: Protocol hierarchy statistics for traffic composition overview
- get_conversations: TCP/UDP conversation analysis with stream indexing
- extract_stream_content: Precise payload extraction with pagination support
- get_stream_info: Content size estimation to prevent token overflow
- extract_stream_chunks: Automated large stream segmentation
- get_top_ips: High-frequency communicator identification for proactive analysis
- check_threats: Batch IP threat scanning with stream correlation
- extract_credentials: Multi-protocol credential detection with context
- capture_packets: Legacy live traffic capture (preserved for compatibility)
🔍 How It Empowers LLMs
NetForensicMCP transforms complex network forensics into LLM-accessible intelligence by: - 🎯 Threat-Driven Analysis: Prioritizes high-risk indicators over raw data processing - 📊 Structured Intelligence: Converts PCAP data into actionable threat intelligence - ⚡ Efficient Investigation: Optimized workflow prevents token exhaustion - 🔗 Correlation Engine: Links disparate network events into coherent attack narratives - 📝 Automated Reporting: Generates comprehensive security reports with IOCs and recommendations🛡️ Cybersecurity Use Cases
- 🕵️ Threat Hunting: Proactive identification of APT activities and C2 communications - 🔍 Incident Response: Rapid forensic analysis of network evidence - 📋 Compliance Auditing: Credential leak detection and security gap identification - 🚨 IOC Extraction: Automated indicator of compromise discovery - 📖 Attack Reconstruction: Timeline analysis and attack path visualization📋 Installation
Prerequisites
- Operating System: Windows, macOS, or Linux - Wireshark: Download here (tshark must be in PATH) - Node.js: v16+ recommended - npm: For dependency managementSetup
1. Clone the repository: ``bash
git clone https://github.com/kylecui/NetForensicMCP.git
cd NetForensicMCP
`
2. Install dependencies:
`bash
npm install
`
3. Launch the MCP server:
`bash
node index.js
`
> Note: NetForensicMCP auto-detects tshark or falls back to common installation paths on all platforms.
⚙️ MCP Client Configuration
Cursor IDE
Edit mcp.json in Cursor → Settings → MCP:
`json
{
"mcpServers": {
"netforensicmcp": {
"command": "node",
"args": [
"/ABSOLUTE_PATH_TO/NetForensicMCP/index.js"
]
}
}
}
`
Claude Desktop
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
`json
{
"mcpServers": {
"wiremcp": {
"command": "node",
"args": ["C:\\path\\to\\NetForensicMCP\\index.js"]
}
}
}
`
🔬 Example Analysis Workflows
Threat Intelligence Analysis
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