E-commerce Manager's Command Center: Multi-Server MCP Integration

Prerequisites

• Claude AI access (Claude 3.5 Sonnet or newer recommended)
• Node.js 18+ installed
• Shopify store with API access
• Bright Data account with e-commerce permissions
• Google Workspace for Gmail
• Slack workspace
• Excel or compatible software
• Basic understanding of e-commerce operations

Environment Preparation

1. API Keys and Authentication

   • Shopify: Private app credentials or custom app tokens
   • Bright Data: Account credentials and zone configuration
   • Gmail: OAuth 2.0 setup
   • Slack: Bot token and app installation
   • Memory Bank: Local storage path configuration

2. MCP Server Installation

   # Install all required MCP servers
   npm install -g @shopify/mcp-server
   npm install -g @excel/mcp-server
   npm install -g @gmail/mcp-server
   npm install -g @slack/mcp-server
   npm install -g @browsercat/mcp-server
   npm install -g @memory-bank/mcp-server
   npm install -g @brightdata/mcp-server
   
   

Claude Configuration

Add the following to your Claude MCP configuration:

{
  "servers": {
    "shopify": {
      "command": "npx",
      "args": ["@shopify/mcp-server"],
      "env": {
        "SHOPIFY_STORE_URL": "your-store.myshopify.com",
        "SHOPIFY_ACCESS_TOKEN": "your_private_app_token"
      }
    },
    "excel": {
      "command": "npx",
      "args": ["@excel/mcp-server"],
      "env": {
        "EXCEL_PATH": "/path/to/ecommerce/spreadsheets"
      }
    },
    "gmail": {
      "command": "npx",
      "args": ["@gmail/mcp-server"],
      "env": {
        "GMAIL_CREDENTIALS": "/path/to/gmail/credentials.json",
        "GMAIL_TOKEN": "/path/to/gmail/token.json"
      }
    },
    "slack": {
      "command": "npx",
      "args": ["@slack/mcp-server"],
      "env": {
        "SLACK_BOT_TOKEN": "xoxb-your-bot-token",
        "SLACK_APP_TOKEN": "xapp-your-app-token"
      }
    },
    "browsercat": {
      "command": "npx",
      "args": ["@browsercat/mcp-server"],
      "env": {
        "BROWSERCAT_API_KEY": "your_browsercat_key"
      }
    },
    "memory-bank": {
      "command": "npx",
      "args": ["@memory-bank/mcp-server"],
      "env": {
        "MEMORY_BANK_PATH": "/path/to/ecommerce/memory"
      }
    },
    "brightdata": {
      "command": "npx",
      "args": ["@brightdata/mcp-server"],
      "env": {
        "BRIGHTDATA_USERNAME": "your_username",
        "BRIGHTDATA_PASSWORD": "your_password",
        "BRIGHTDATA_ZONE": "your_zone_id"
      }
    }
  }
}

Step 1: Initial Setup and Testing

1. Verify All Servers Are Connected

   "Please verify that all MCP servers are connected: Shopify, Excel, Gmail, Slack, BrowserCat, Memory Bank, and Bright Data."
   
   

2. Test Each Server Individually

   • Shopify: “Show current inventory levels for top 10 products”
   • Excel: “Open the pricing analysis spreadsheet”
   • Gmail: “Check recent supplier emails”
   • Slack: “List active channels and recent messages”
   • BrowserCat: “Test load the homepage”
   • Memory Bank: “Retrieve last Black Friday sales data”
   • Bright Data: “Test scrape Amazon price for one product”

Step 2: Competitive Price Monitoring

Set Up Price Tracking:

"Using Bright Data, scrape current prices for our top 50 products from:
1. Amazon
2. Walmart.com
3. Target.com
4. Direct competitors (list of 5 competitor sites)

Extract:
- Current price
- Sale price (if applicable)
- Stock status
- Shipping costs
- Customer ratings"

Price Comparison Analysis:

"Compare our prices to competitors:
1. Calculate price differential for each product
2. Identify where we're overpriced by >15%
3. Find opportunities where competitors are out of stock
4. Note promotional patterns
5. Flag urgent pricing adjustments needed"

Dynamic Pricing Strategy:

"Based on competitor data:
- Products to price match immediately
- Items where we can maintain premium
- Bundle opportunities
- Loss leader candidates
- Margin impact analysis"

Step 3: Black Friday Preparation

Historical Analysis:

"Retrieve from Memory Bank:
1. Last year's Black Friday performance
2. Best-selling products
3. Traffic patterns by hour
4. Conversion rates
5. Customer service issues faced"

Discount Optimization:

"Calculate optimal Black Friday discounts in Excel:
- Current margin for each product
- Minimum acceptable margin (30%)
- Competitor discount analysis
- Recommended discount percentage
- Projected revenue impact
- Bundle deal calculations"

Inventory Planning:

"Analyze inventory needs for Black Friday:
1. Current stock levels from Shopify
2. Last year's sales velocity
3. Lead times from suppliers
4. Safety stock requirements
5. Generate reorder recommendations"

Step 4: Checkout Flow Testing

Load Testing:

"Use BrowserCat to simulate Black Friday traffic:
1. Test with 1000 concurrent users
2. Add items to cart rapidly
3. Complete checkout process
4. Test payment gateway response
5. Monitor page load times
6. Identify bottlenecks"

Mobile Experience:

"Test mobile checkout flow:
- iPhone Safari checkout
- Android Chrome checkout
- Payment method testing
- Address autocomplete
- Error handling
- One-click checkout options"

Stress Points:

"Identify and test failure points:
1. Inventory updating under load
2. Coupon code application
3. Shipping calculator accuracy
4. Payment processing timeouts
5. Cart persistence issues"

Step 5: Supplier Communication

Restock Requests:

"Draft urgent restock emails to suppliers:

Subject: Urgent - Black Friday Stock Request

Based on our analysis:
- Product A: Need 500 units by Nov 20
- Product B: Need 300 units by Nov 22
- Product C: Need 1000 units by Nov 18

Include:
- Current stock levels
- Projected demand
- Requested delivery dates
- Payment terms"

Negotiation Documentation:

"Track supplier negotiations:
1. Volume discount tiers
2. Expedited shipping costs
3. Payment term adjustments
4. Quality guarantees
5. Return policies for unsold inventory"

Step 6: Team Coordination

Slack Alert System:

"Set up Black Friday Slack alerts:

#urgent-issues channel:
- Checkout failures
- Stock-outs on top products
- Payment gateway issues
- Site performance degradation

#inventory-alerts:
- Low stock warnings
- Restock confirmations
- Overselling risks"

Task Assignment:

"Create Black Friday task list in Slack:
1. Customer service: Extended hours coverage
2. Marketing: Flash sale scheduling
3. Tech team: On-call rotation
4. Warehouse: Shipping priority queue
5. Management: Real-time dashboard monitoring"

Step 7: Real-Time Operations

Live Dashboard Monitoring:

"During Black Friday, monitor:
1. Real-time sales vs projections
2. Inventory depletion rates
3. Cart abandonment rates
4. Site performance metrics
5. Customer service queue length"

Dynamic Adjustments:

"Make real-time adjustments:
- Pause promotions on low-stock items
- Increase discounts on slow movers
- Adjust shipping thresholds
- Implement queue system if needed
- Communicate changes to team"

Advanced E-commerce Workflows

Customer Segmentation:

"Analyze customer data for targeted promotions:
1. VIP customers (top 10% spenders)
2. First-time buyers
3. Abandoned cart recoveries
4. Loyalty program members
5. Geographic segments"

Multi-Channel Synchronization:

"Sync inventory across channels:
- Shopify main store
- Amazon marketplace
- eBay store
- Facebook shop
- Instagram shopping
Prevent overselling with buffer stock"

Predictive Analytics:

"Use historical data to predict:
1. Hourly sales patterns
2. Product velocity by category
3. Customer service volume
4. Return rates post-sale
5. Cash flow requirements"

Post-Event Analysis

Performance Review:

"After Black Friday, analyze:
1. Sales vs projections
2. Margin analysis by product
3. Customer service metrics
4. Site performance data
5. Competitor strategy effectiveness"

Lessons Learned:

"Document improvements for next year:
- Inventory planning adjustments
- Checkout flow optimizations
- Team communication enhancements
- Supplier relationship insights
- Technology infrastructure needs"

Ongoing Operations

Daily Monitoring:

"Daily e-commerce checklist:
1. Check competitor prices (top 20 items)
2. Review inventory alerts
3. Process supplier communications
4. Monitor customer service queue
5. Update pricing as needed"

Weekly Analytics:

"Weekly performance review:
- Sales trends vs last year
- Conversion rate analysis
- Average order value
- Customer acquisition cost
- Return on ad spend"

Best Practices

1. Daily Operations:
   • Morning competitor price check
   • Inventory level review
   • Customer service queue check
   • Supplier email processing
   • Team standup in Slack
2. Weekly Planning:
   • Comprehensive price analysis
   • Inventory forecasting
   • Marketing calendar review
   • Supplier relationship management
   • Performance metrics review
3. Monthly Strategy:
   • Competitive landscape analysis
   • Product mix optimization
   • Customer segment analysis
   • Seasonal planning
   • Technology upgrades
4. Data Security:
   • Protect pricing strategies
   • Secure supplier agreements
   • Customer data privacy
   • Competitive intelligence ethics
   • Team access controls

Troubleshooting Common Issues

Inventory Synchronization:

• Check API connections
• Verify buffer stock settings
• Review sync frequency
• Audit manual overrides
• Test edge cases

Price Monitoring Errors:

• Verify scraping selectors
• Handle dynamic pricing
• Account for shipping costs
• Check currency conversions
• Validate data accuracy

Checkout Problems:

• Test payment gateways
• Verify address validation
• Check tax calculations
• Test coupon logic
• Monitor timeout settings

Example Scenarios

Flash Sale Execution:

"Execute 4-hour flash sale:
1. Update prices in Shopify (30% off selected)
2. Test checkout flow quickly
3. Email subscribers via Gmail
4. Alert team on Slack
5. Monitor performance real-time
6. Adjust inventory buffers"

Competitor Response:

"Competitor launched surprise sale:
1. Scrape their sale prices immediately
2. Calculate our margin impact
3. Identify must-match items
4. Update our prices strategically
5. Communicate strategy to team
6. Monitor sales impact"

Supply Chain Crisis:

"Major supplier delay notification:
1. Check affected product inventory
2. Calculate days of stock remaining
3. Find alternative suppliers
4. Adjust marketing for affected items
5. Notify customer service team
6. Update shipping estimates"