n8n Workflow Collection

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The Ultimate Collection of n8n Automation Workflows

Browse Online · Documentation · Contributing · License

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<div align="center"> <a href="https://github.com/Trusera/ai-bom"> <img src="https://raw.githubusercontent.com/Trusera/ai-bom/main/assets/logo.png" alt="AI-BOM Logo" width="100" /> </a> <h2>NEW: Scan Your n8n Workflows for AI Security Risks</h2> <a href="https://github.com/Trusera/ai-bom"> <img src="https://img.shields.io/badge/AI--BOM-Scan%20Now-ff4444?style=for-the-badge&logoColor=white" alt="AI-BOM" /> </a> <a href="https://github.com/Trusera/ai-bom"> <img src="https://img.shields.io/badge/Open%20Source-Apache%202.0-blue?style=for-the-badge" alt="Open Source" /> </a> <a href="https://github.com/Trusera/ai-bom"> <img src="https://img.shields.io/badge/First%20n8n%20AI%20Scanner-Ever-brightgreen?style=for-the-badge" alt="First Ever" /> </a> </div> <table> <tr> <td width="65%">

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>

</td> <td width="35%" align="center"> <a href="https://github.com/Trusera/ai-bom"> <img src="https://raw.githubusercontent.com/Trusera/ai-bom/main/assets/maskot.png" alt="AI-BOM Mascot" width="220" /> </a> <br />

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

</td> </tr> </table> <details> <summary><strong>What does AI-BOM detect in n8n workflows? (click to expand)</strong></summary> <br />

Risk	Severity	What it finds
AI Agent nodes	CRITICAL	Agents connected to LLMs with tool access — can execute code
Hardcoded credentials	CRITICAL	API keys in workflow JSON instead of credential store
Dangerous tool combos	CRITICAL	Agents with Code Execution + HTTP Request = RCE risk
MCP clients	HIGH	Model Context Protocol connections to external servers
Unauthenticated webhooks	HIGH	Webhook triggers exposed to the internet without auth
Agent chains	HIGH	Execute Workflow linking agents without input validation

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

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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

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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

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Features

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By The Numbers

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

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Performance

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

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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

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Documentation

API Endpoints

Endpoint	Method	Description
/	GET	Web interface
/api/search	GET	Search workflows
/api/stats	GET	Repository statistics
/api/workflow/{id}	GET	Get workflow JSON
/api/categories	GET	List all categories
/api/export	GET	Export workflows

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)

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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

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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

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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

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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.

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License

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

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Support

If you find this project helpful, please consider:

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Star us on GitHub — it motivates us a lot!

Made with care by Zie619 and contributors

<br /> <a href="https://github.com/Trusera/ai-bom"> <img src="https://raw.githubusercontent.com/Trusera/ai-bom/main/assets/logo.png" alt="AI-BOM" width="50" /> </a>

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

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