Mail Ops Scripts

A unified operational toolkit for email server administration, security analysis, and reporting.

🚀 Now available on PyPI!

You can now install mailops globally with a single command.

⚡ Quick Start

Get the CLI installed directly from PyPI and start managing your mail operations in seconds.

# Install via pip
pip install mail-ops-scripts

# Verify installation
mailops --help

🛠 The Toolkit

mailops is a single binary aimed at simplifying the fragmented world of email admin. No more juggling random bash scripts or online DNS checkers.

🚀 Common Workflows

1. The "Monday Morning" Check

Grab the last week's DMARC reports from your dedicated inbox and see if anyone is spoofing you.

# 1. Download reports from your dmarc@ account
mailops fetch --user admin@example.com --password "app-password" --days 7

# 2. Analyze the data (view alerts only)
mailops report --alerts

2. Setting Up a New Domain

Spinning up a new sender? Generate your security keys and validate your DNS instantly.

# 1. Generate DKIM keys (outputs to ./default.private)
mailops dkim example.com --selector=mail

# 2. Verify your SPF record is live and valid
mailops spf example.com

3. Generate DMARC Analysis Report

Analyze reports in your current directory, a specific folder, or even a single file.

# Display all records in current directory
mailops report

# Analyze reports in a specific folder
mailops report ./my_logs/

# Analyze a single XML file
mailops report report.xml

# Export all records to CSV
mailops report --csv dmarc_analysis.csv

📊 Report Command Features

The mailops report command analyzes DMARC XML reports and provides:

• Formatted Tables: Color-coded analysis of SPF, DKIM, and DMARC policy results
• Alert Filtering: --alerts flag to show only authentication failures and spoofing attempts
• CSV Export: --csv flag to save results for further analysis
• Compressed Format Support: Automatically handles .xml, .xml.gz, and .zip files
• Organized Output: Groups results by organization and date range

Report Output Example

$ mailops report
📊 Analyzing REAL DMARC reports...
Found 5 XML files:
  📄 enterprise.protection.outlook.com!example.com!1765324800!1765411200.xml.gz
  ...

Report: enterprise.protection.outlook.com (2025-12-01)
─────────────────────────────────────────────────────────────────────────
Source IP           | Hostname                   | Cnt | SPF  | DKIM | Analysis
─────────────────────────────────────────────────────────────────────────
192.168.1.1         | mail.example.com           | 42  | pass | pass | OK
10.0.0.5            | suspicious.domain          | 3   | fail | fail | INVESTIGATE

📦 Developer Setup

If you want to contribute or modify the scripts, here is how to get the dev environment running locally.

# Clone and setup
git clone https://github.com/knowoneactual/mail-ops-scripts
cd mail-ops-scripts

# Create virtual env
python -m venv .venv
source .venv/bin/activate

# Install in editable mode with dev dependencies
pip install -e '.[dev]'

# Run the test suite
pytest

# Format and lint code with Ruff (fast & unified)
ruff format .
ruff check --fix .

🤝 Contributing

We want to keep this lightweight and portable.

• Standard Libs First: Trying to avoid external dependencies to ensure the tool runs anywhere.
• Code Style: UsingRuff for high-performance, unified linting and formatting.
• See details: Check CONTRIBUTING.md for the full guide.

📄 License

MIT © KnowOneActual

Made with ❤️ for email operations

🗺️ Roadmap