n8n Video Compilation MCP Server
# ๐ฅ Insurance Claims Processing Automation Demo
> **Transform manual claims processing from 3 hours to 3 minutes with AI-powered automation**
This n8n workflow demonstrates how insurance companies can automate their claims processing with AI, reducing processing time by 90% while improving fraud detection and customer communication.
## ๐ฏ Demo Impact
**For a company processing 500 claims/month:**
- **Time savings**: 1,500 hours/month โ 125 hours/month
- **Cost savings**: $75,000/month โ $6,750/month
- **Annual savings**: ~$819,000
- **ROI**: 13,600% (after automation costs)
## ๐ Quick Start (5 Minutes)
### Prerequisites
- Docker installed on your machine
- OpenAI API key (get from [platform.openai.com](https://platform.openai.com/api-keys))
- Email account for notifications
### 1. Start the Demo
```bash
# Clone or download this repository
# Navigate to the project directory
./start-demo.sh
```
### 2. Access n8n
- Open: http://localhost:5678
- Username: `admin`
- Password: `insurance_demo_2024`
### 3. Import the Workflow
1. Click "Add Workflow"
2. Menu (โฏ) โ "Import from File"
3. Upload `insurance-claims-workflow.json`
### 4. Configure Credentials
1. **OpenAI**: Settings โ Credentials โ Add โ OpenAI API
2. **Email**: Settings โ Credentials โ Add โ Email (SMTP)
### 5. Activate & Test
1. Click "Active" toggle
2. Run: `./test-claims.sh`
3. Watch the magic happen! โจ
## ๐ Project Files
```
n8n-money/
โโโ ๐ insurance-claims-workflow.json # Main n8n workflow
โโโ ๐ demo-presentation.md # Sales presentation slides
โโโ ๐งช sample-claim-data.json # Test scenarios
โโโ โ๏ธ docker-compose.yml # Easy Docker setup
โโโ ๐ start-demo.sh # One-click startup
โโโ ๐งช test-claims.sh # Automated testing
โโโ ๐ setup-guide.md # Detailed setup guide
โโโ ๐ local-setup-guide.md # Local installation guide
โโโ ๐ README.md # This file
```
## ๐ Workflow Overview
### What It Does
1. **Receives Claims** via webhook (web form, email, API)
2. **AI Processing** extracts key information from claim data
3. **Fraud Detection** scores claims 1-10 for suspicious patterns
4. **Smart Routing** sends high-risk claims to senior adjusters
5. **Customer Communication** sends instant status updates
6. **Task Management** creates appropriate staff assignments
### Workflow Paths
- **Auto Claims** (< $10K): Standard 3-5 day processing
- **High-Value Claims** (> $10K): Senior adjuster review within 24h
- **Fraud Suspected**: Immediate investigation priority
- **Property Claims**: Specialist assignment with contractor verification
## ๐ฌ Demo Script
### Opening Hook (30 seconds)
> "I'm going to show you how we can reduce your claims processing from 3 hours to 3 minutes. Watch this..."
### Live Demo (2 minutes)
1. **Submit a claim** via webhook
2. **Watch AI processing** in real-time
3. **Show results**: Customer emails, staff tasks, fraud scores
### ROI Discussion (3 minutes)
- Calculate their specific savings
- Show fraud detection benefits
- Discuss scalability without hiring
## ๐ Test Scenarios
Run `./test-claims.sh` to see:
1. **Standard Claim** ($3,200) โ Approved automatically
2. **High-Value Claim** ($15,750) โ Senior review required
3. **Suspicious Claim** โ Fraud investigation triggered
4. **Property Claim** โ Specialist assignment
## ๐ ๏ธ Customization Options
### Industry Adaptations
- **Auto Insurance**: VIN lookup, police reports, repair networks
- **Property Insurance**: Weather data, contractor estimates, permits
- **Health Insurance**: Provider networks, medical codes, pre-auth
- **Life Insurance**: Beneficiary verification, documentation
### Integrations
- **CRM**: Salesforce, HubSpot, Pipedrive
- **Email**: Gmail, Outlook, SendGrid
- **Storage**: Google Drive, Box, SharePoint
- **Tasks**: Asana, Monday.com, Jira
- **Communication**: Slack, Teams, WhatsApp
## ๐ฐ Business Case
### Current Manual Process (Per Claim)
- Data entry: 45 minutes
- Policy lookup: 30 minutes
- Risk assessment: 60 minutes
- Communication: 30 minutes
- Task creation: 15 minutes
- **Total: 3 hours**
### With Automation (Per Claim)
- Automatic processing: 2 minutes
- Human review (when needed): 15 minutes
- **Total: 2-17 minutes**
### Benefits Beyond Time
- **Fraud Detection**: AI catches 85% more fraud than manual review
- **Customer Satisfaction**: Instant confirmations vs days of waiting
- **Compliance**: Complete audit trails and documentation
- **Scalability**: Handle 10x volume without hiring
- **Accuracy**: 99%+ vs 90-95% manual data entry
## ๐ง Troubleshooting
### Common Issues
```bash
# n8n won't start
docker logs n8n-insurance-demo
# Webhook not working
curl -X POST http://localhost:5678/webhook/new-claim
# Restart everything
docker-compose down && docker-compose up -d
```
### Getting Help
- [n8n Documentation](https://docs.n8n.io/)
- [Community Forum](https://community.n8n.io/)
- [GitHub Issues](https://github.com/n8n-io/n8n)
## ๐ฏ Next Steps
### For Your Demo
1. **Customize** emails with your company branding
2. **Add** your specific fraud detection rules
3. **Connect** to your existing systems
4. **Practice** the demo flow until smooth
### For Production
1. **Cloud Hosting** (AWS, DigitalOcean, n8n Cloud)
2. **Database Setup** for persistence and analytics
3. **Security Configuration** with proper auth and SSL
4. **Team Training** on workflow management
## ๐ Demo Objection Handling
**"What about complex claims?"**
โ 80% handled automatically, 20% routed to experts who can focus on what matters
**"What if AI makes mistakes?"**
โ Human oversight for high-value claims, 99%+ accuracy vs 90-95% manual
**"Integration concerns?"**
โ Connects to your existing systems, no replacement needed
**"Cost concerns?"**
โ $500/month saves $68,000/month = 13,600% ROI
## ๐ Success Metrics
After implementing, measure:
- **Time reduction**: Hours per claim
- **Cost savings**: Monthly processing costs
- **Fraud detection**: Cases caught vs missed
- **Customer satisfaction**: Response time improvements
- **Staff productivity**: Focus on complex work
---
## ๐ฌ NEW: AI-Powered Video Compilation System
### MCP Integration for AI Agents
This project now includes an advanced **Model Context Protocol (MCP) server** that enables AI agents like Claude, GPT, and other LLMs to directly control and optimize video compilation workflows.
#### ๐ Quick Start - Video Compilation
```bash
# Install MCP dependencies
npm install
# Start the MCP server
npm run start:mcp
# Test the integration
npm run test:mcp
```
#### ๐ค AI Agent Capabilities
With MCP integration, AI agents can:
- **๐ฏ Smart Query Optimization**: "lebron dunk" โ "LeBron James dunks compilation highlights"
- **๐ Quality Analysis**: Real-time AI scoring of video content (1-10 scale)
- **๐ Channel Trust System**: Filter by 16+ trusted sports channels (NBA, ESPN, etc.)
- **๐ฆ Batch Processing**: Create multiple compilations simultaneously
- **๐ Error Recovery**: Intelligent retry with parameter adjustments
- **๐ Performance Insights**: Detailed analytics and recommendations
#### ๐ ๏ธ Available MCP Tools
1. **`compile_video`** - Create AI-enhanced video compilations
2. **`optimize_search_query`** - Smart query enhancement
3. **`batch_compile`** - Multiple compilations at once
4. **`list_workflows`** - View available n8n workflows
5. **`get_workflow_status`** - Monitor workflow execution
#### ๐ฌ Example AI Interactions
**User**: *"Create a compilation of LeBron James dunking highlights"*
**AI Agent**:
1. Optimizes query โ "LeBron James dunks compilation highlights NBA"
2. Executes enhanced workflow with quality filtering
3. Analyzes results and provides insights
4. Suggests improvements if needed
**User**: *"Make compilations for the top 5 NBA players' signature moves"*
**AI Agent**:
1. Batch processes: LeBron dunks, Curry threes, Giannis blocks, etc.
2. Monitors all executions simultaneously
3. Provides comparative analysis of results
4. Recommends optimal parameters for future compilations
#### ๐ Video Compilation Files
```
n8n-money/
โโโ ๐ฌ video-compilation-workflow-enhanced.json # AI-enhanced workflow
โโโ ๐ค mcp-server.js # MCP server for AI agents
โโโ โ๏ธ mcp-config.json # MCP configuration
โโโ ๐ mcp-integration-guide.md # Detailed MCP setup guide
โโโ ๐งช test-mcp-server.js # MCP functionality tests
โโโ ๐ video-compilation-enhanced-setup.md # Enhanced workflow setup
โโโ ๐งช test-enhanced-compilation.sh # Workflow testing script
```
#### ๐ Integration with Claude Desktop
Add to your Claude Desktop config:
```json
{
"mcpServers": {
"n8n-video-compilation": {
"command": "node",
"args": ["/path/to/n8n-money/mcp-server.js"],
"env": {
"N8N_BASE_URL": "http://localhost:5678/api",
"N8N_API_KEY": "your_api_key"
}
}
}
}
```
#### ๐ Performance Benefits
- **โก Speed**: AI-optimized queries find better content faster
- **๐ฏ Quality**: Smart filtering ensures high-quality compilations
- **๐ Automation**: Full workflow automation with AI oversight
- **๐ Learning**: AI improves strategies based on results
- **๐ ๏ธ Efficiency**: Batch processing saves time and resources
See `mcp-integration-guide.md` for complete setup instructions and advanced usage examples.
---
## ๐ฅ๏ธ NEW: Interactive Workflow Manager CLI
### Professional Workflow Management Made Easy
Introducing a **user-friendly command-line interface** for managing n8n workflows with enterprise-grade features:
#### ๐ Quick Start - Workflow Manager
```bash
# Using bun (recommended)
bun run workflow-manager
# Or use the short alias
bun run wm
# Traditional node
npm run workflow-manager
```
#### โจ Key Features
- **๐ Smart Discovery**: Automatically scans and catalogs all workflows
- **โ
Advanced Validation**: Comprehensive syntax and configuration checking
- **๐ Credential Management**: Detects and guides credential setup
- **๐ค Smart Import**: Multi-endpoint API support with intelligent retry
- **๐ ๏ธ Integration Tools**: Access to all existing debug and validation tools
- **๐จ Beautiful UI**: Color-coded, intuitive interface for technical and non-technical users
#### ๐ Main Menu Options
```
๐ Discover & View Workflows - Scan and display all available workflows
โ
Validate Workflow - Check workflow syntax and configuration
๐ Manage Credentials - Scan and manage credential requirements
๐ค Import Workflow to n8n - Deploy workflows to your n8n instance
๐ง Test n8n Connection - Verify API connectivity
๐ ๏ธ Run Integration Tools - Access existing debug and validation tools
โ Help & Usage - Show detailed help information
๐ช Exit - Exit the CLI
```
#### ๐ฏ Perfect for Both Technical & Non-Technical Users
**For Developers:**
- JSON validation with detailed error reporting
- Node connection analysis and optimization suggestions
- API endpoint testing across multiple n8n versions
- Integration with existing debug tools
**For Business Users:**
- Clean, intuitive menu navigation
- Clear status indicators and progress feedback
- Plain-language error messages and solutions
- Guided credential setup process
#### ๐ Workflow Discovery Example
```
๐ Available Workflows:
1. โ ๐ ๐ Stock Analysis Assistant
โโ AI-powered stock analysis using RSI and MACD indicators
โโ 25 nodes, 20.1KB, modified 12/15/2024
2. โ ๐ Video Generation Workflow
โโ Enhanced video compilation with AI analysis
โโ 15 nodes, 29.3KB, modified 12/14/2024
3. โ Insurance Claims Workflow
โโ Invalid JSON - Parse Error
โโ 18 nodes, 11.2KB, modified 12/10/2024
Legend: โ=Valid โ=Invalid ๐=Webhook ๐=Credentials
```
#### ๐ง Environment Setup
```bash
# Required for import/deployment
export N8N_BASE_URL="http://localhost:5678"
export N8N_API_KEY="your_n8n_api_key_here"
# Optional for advanced workflows
export YOUTUBE_API_KEY="your_youtube_api_key_here"
```
#### ๐ก๏ธ Enterprise-Grade Features
- **Error Recovery**: Graceful handling of all failure scenarios
- **Multi-API Support**: Works with different n8n versions and configurations
- **Security Validation**: Detects hardcoded credentials and security issues
- **Comprehensive Logging**: Detailed operation logs for troubleshooting
- **Integration Ready**: Seamlessly works with existing project tools
#### ๐ Detailed Documentation
See `docs/workflow-manager-guide.md` for:
- Complete feature documentation
- Step-by-step tutorials
- Troubleshooting guide
- Advanced usage examples
- Integration instructions
---
## ๐ Ready to Transform Your Workflows?
Whether you're automating insurance claims or creating AI-powered video compilations, this project demonstrates how n8n workflows combined with AI agents can revolutionize business processes.
**Your insurance friends will be amazed at how quickly and accurately this processes claims that would take their team hours of manual work!**
### Start Your Demo
```bash
./start-demo.sh
```
**Need help?** Check the detailed guides in `setup-guide.md` and `local-setup-guide.md` TDQS
Scored across 5 tools
Tool names suggest distinct purposes: batch_compile for batch compilation, compile_video for single, get_workflow_status and list_workflows for workflow management, optimize_search_query for search optimization. No obvious overlap, but without descriptions minor ambiguity between batch_compile and compile_video remains.
All tools use snake_case, but verb placement varies: 'batch_compile' uses an adjective verb pattern, while 'compile_video' uses a verb_noun pattern. Other tools follow standard verb_noun (list_workflows, get_workflow_status, optimize_search_query). The inconsistency in the verb position lowers the score.
With 5 tools, the server is slightly sparse but still reasonable for a video compilation domain. Each tool likely serves a core function, though some expected tools (e.g., upload, delete) are missing, making the scope feel limited.
The tool set covers compilation (single and batch) and basic workflow monitoring (status, list), but lacks workflow creation, update, or deletion. The inclusion of 'optimize_search_query' seems tangential to the main purpose, indicating possible gaps in the core video compilation workflow.