n8n Workflow Collection

The Ultimate Collection of n8n Automation Workflows

Browse Online · Documentation · Contributing · License

Your workflows contain AI — do you know what's hiding in them?

We built AI-BOM because we scanned our own 4,343 workflows and found hardcoded API keys, unauthenticated AI agents, and MCP clients connecting to unknown servers — all invisible to existing security tools.

AI-BOM is the first and only tool that scans n8n workflows for AI security risks.

pip install ai-bom
ai-bom scan ./workflows/

One command finds every AI Agent node, LLM integration, MCP client, hardcoded credential, and dangerous tool combination — then gives you a risk score and a compliance-ready report.

EU AI Act deadline: August 2025. You need an AI inventory.

<a href="https://github.com/Trusera/ai-bom"><strong>Get AI-BOM (free & open source) →</strong></a>

_{<strong>AI-BOM</strong> by <a href="https://trusera.dev">Trusera</a>} <br /> _{Securing the Agentic Service Mesh}

Beyond n8n, AI-BOM also scans source code (Python, JS, TS, Java, Go, Rust, Ruby), Docker configs, cloud infrastructure (Terraform, CloudFormation), and network endpoints — 21+ AI SDKs detected across 7 languages.

Output formats: CycloneDX SBOM | SARIF (GitHub Code Scanning) | HTML Dashboard | Markdown | JSON

What's New

Latest Updates (November 2025)

• Enhanced Security: Full security audit completed, all CVEs resolved
• Docker Support: Multi-platform builds for linux/amd64 and linux/arm64
• GitHub Pages: Live searchable interface at zie619.github.io/n8n-workflows
• Performance: 100x faster search with SQLite FTS5 integration
• Modern UI: Completely redesigned interface with dark/light mode

Quick Access

Use Online (No Installation)

Visit zie619.github.io/n8n-workflows for instant access to:

• Smart Search — Find workflows instantly
• 15+ Categories — Browse by use case
• Mobile Ready — Works on any device
• Direct Downloads — Get workflow JSONs instantly

Features

By The Numbers

• 4,343 Production-Ready Workflows
• 365 Unique Integrations
• 29,445 Total Nodes
• 15 Organized Categories
• 100% Import Success Rate

Performance

• < 100ms Search Response
• < 50MB Memory Usage
• 700x Smaller Than v1
• 10x Faster Load Times
• 40x Less RAM Usage

Local Installation

Prerequisites

• Python 3.9+
• pip (Python package manager)
• 100MB free disk space

Quick Start

# Clone the repository
git clone https://github.com/Zie619/n8n-workflows.git
cd n8n-workflows

# Install dependencies
pip install -r requirements.txt

# Start the server
python run.py

# Open in browser
# http://localhost:8000

Docker Installation

# Using Docker Hub
docker run -p 8000:8000 zie619/n8n-workflows:latest

# Or build locally
docker build -t n8n-workflows .
docker run -p 8000:8000 n8n-workflows

Documentation

API Endpoints

Search Features

• Full-text search across names, descriptions, and nodes
• Category filtering (Marketing, Sales, DevOps, etc.)
• Complexity filtering (Low, Medium, High)
• Trigger type filtering (Webhook, Schedule, Manual, etc.)
• Service filtering (365+ integrations)

Architecture

graph LR
    A[User] --> B[Web Interface]
    B --> C[FastAPI Server]
    C --> D[SQLite FTS5]
    D --> E[Workflow Database]
    C --> F[Static Files]
    F --> G[Workflow JSONs]

Tech Stack

• Backend: Python, FastAPI, SQLite with FTS5
• Frontend: Vanilla JS, Tailwind CSS
• Database: SQLite with Full-Text Search
• Deployment: Docker, GitHub Actions, GitHub Pages
• Security: Trivy scanning, CORS protection, Input validation

Repository Structure

n8n-workflows/
├── workflows/           # 4,343 workflow JSON files
│   └── [category]/     # Organized by integration
├── docs/               # GitHub Pages site
├── src/                # Python source code
├── scripts/            # Utility scripts
├── api_server.py       # FastAPI application
├── run.py              # Server launcher
├── workflow_db.py      # Database manager
└── requirements.txt    # Python dependencies

Contributing

We love contributions! Here's how you can help:

Ways to Contribute

• Report bugs via Issues
• Suggest features in Discussions
• Improve documentation
• Submit workflow fixes
• Star the repository

Development Setup

# Fork and clone
git clone https://github.com/YOUR_USERNAME/n8n-workflows.git

# Create branch
git checkout -b feature/amazing-feature

# Make changes and test
python run.py --debug

# Commit and push
git add .
git commit -m "feat: add amazing feature"
git push origin feature/amazing-feature

# Open PR

Security

Security Features

• Path traversal protection
• Input validation & sanitization
• CORS protection
• Rate limiting
• Docker security hardening
• Non-root container user
• Regular security scanning

Reporting Security Issues

Please report security vulnerabilities to the maintainers via Security Advisory.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you find this project helpful, please consider:

Star us on GitHub — it motivates us a lot!

Made with care by Zie619 and contributors

AI-BOM — Discover every AI agent, model, and API hiding in your infrastructure. <br /> Open source by Trusera — Securing the Agentic Service Mesh.