Sline MCP Server

Model Context Protocol for AI Commerce Integration

Connect AI assistants to real-time commerce data from SHOPLINE stores

Transform Your Store with AI-Powered Shopping Experiences

Sline MCP Server implements the Model Context Protocol (MCP) to bridge AI assistants with SHOPLINE's commerce ecosystem. Enable customers to shop naturally using conversational AI, powered by real-time product data, inventory, and store policies.

Quick Connect

Server URL: https://mcp.sline.dev/mcp (or /sse for streaming)

Powered by: SHOPLINE Sline Template Engine

🔍 AI Product Discovery

Enable natural language product search and recommendations. Customers can ask "Show me red dresses under $100" and get instant, relevant results from your catalog.

🛒 Smart Cart Management

Let AI assistants add, remove, and modify cart items based on customer conversations. Seamlessly handle size changes, quantity updates, and product substitutions.

📋 Store Information Hub

Provide instant answers about shipping policies, return procedures, store hours, and FAQs. Keep customers informed without leaving the conversation.

📦 Order Tracking

Help customers track order status, process returns, and manage their purchase history through natural conversation flows.

🌐 Multi-Language Support

Serve global customers with AI assistants that understand and respond in multiple languages, adapting to your store's localization needs.

⚡ Real-Time Streaming

Deliver responsive chat experiences with streaming responses, keeping customers engaged with immediate feedback and natural conversation flow.

Setup Instructions

Choose the configuration method that best fits your AI client setup:

For Most MCP Clients

{
  "mcpServers": {
    "sline": {
      "serverUrl": "https://mcp.sline.dev/sse"
    }
  }
}

For Private Repositories

{
  "mcpServers": {
    "sline": {
      "serverUrl": "https://mcp.sline.dev/sse",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

For Claude Desktop

claude mcp add -s user -t http sline https://mcp.sline.dev/mcp

Environment Variables

# Optional: Set your SHOPLINE store credentials
SHOPLINE_STORE_URL=your-store.myshopline.com
SHOPLINE_ACCESS_TOKEN=your_access_token

# Optional: Enable debug mode
MCP_DEBUG=true

Ready to Get Started?

Join thousands of SHOPLINE merchants already using AI to enhance their customer shopping experience.

View Documentation GitHub Repository

Technical Specifications

Protocol Support

  • Model Context Protocol (MCP) 1.0
  • HTTP/HTTPS endpoints
  • Server-Sent Events (SSE)
  • WebSocket connections

API Integration

  • SHOPLINE Storefront API
  • Product Catalog API
  • Cart Management API
  • Customer Account API

Security Features

  • OAuth 2.0 authentication
  • API key management
  • Rate limiting protection
  • CORS policy enforcement