Is the network-forensics-mcp-server MCP server actively maintained?

The network-forensics-mcp-server MCP server was last committed 1d ago and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

network-forensics-mcp-server MCP Server

Name: jus1-c/network-forensics-mcp-server
Rating: 3.1 (1 reviews)
Author: jus1-c

jus1-c/network-forensics-mcp-server

Score: 51.4 Rank #72 MCP Server

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A high-performance MCP Server for Network Forensics that enables AI agents to analyze PCAP files through the Model Context Protocol. Built with direct tshark integration for maximum speed.

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Overview

jus1-c/network-forensics-mcp-server is a Python MCP server. A high-performance MCP Server for Network Forensics that enables AI agents to analyze PCAP files through the Model Context Protocol. Built with direct tshark integration for maximum speed.

Ranked #72 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: —
Last Commit: 1d ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# MCP Network Forensics

A high-performance MCP Server for Network Forensics that enables AI agents to analyze PCAP files through the Model Context Protocol. Built with direct tshark integration for maximum speed.

## Features

- **High Performance**: Direct tshark subprocess calls (not PyShark) for 26-90x faster analysis
- **Deep Packet Inspection**: Access to all Wireshark dissectors (1000+ protocols)
- **Advanced Filtering**: Support for all Wireshark display filters
- **Protocol Analysis**: Automatic statistics and distribution analysis
- **Security First**: Path validation, size limits, input sanitization
- **Memory Efficient**: Streaming processing for large files (tested with 1M+ packets)
- **Auto-Detection**: Automatically finds tshark installation

## Performance Benchmarks

Tested on a 1.1GB PCAP file with 1,028,287 packets:

| Operation | Time | Optimization |
|-----------|------|--------------|
| Packet Count | 0.6s | `capinfos` (26x faster) |
| Get Summary | 0.2s | `-c` fl

Read full README on GitHub →