Salla MCP Server
Provides tools for managing Salla e-commerce store, including products, orders, customers, categories, brands, and analytics such as abandoned carts, hourly visitors, summary reports, and general statistics.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Salla MCP ServerShow me my store's top products from last month."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🛍️ Salla MCP Server
Transform your Salla store management with the power of AI. This Model Context Protocol (MCP) server bridges AI assistants (like Claude and Cursor) directly to your Salla store, enabling natural language operations for products, orders, and analytics.
Ready to use! This server is already deployed and usable at:https://salla-mcp-server.inlustris.workers.dev/sse
Live Demo • Salla Partners • MCP Documentation
✨ Key Capabilities
🗣️ Natural Language Ops: "Show me orders from yesterday," or "Update the price of iPhone 15 to 3000 SAR."
📊 Real-time Analytics: Access abandoned carts, hourly visitors, and store performance summaries instantly.
📦 Inventory Management: Create, update, and browse products and categories with ease.
👥 Customer Insights: Search and retrieve detailed customer profiles and order histories.
⚡ Edge-Powered: Built on Cloudflare Workers for ultra-low latency and global availability.
Related MCP server: Saleor MCP Server
🛠️ Available AI Tools
Category | Tools | Description |
Store |
| Manage store metadata, categories, and brands. |
Products |
| Full CRUD and search for your product catalog. |
Orders |
| Track shipments, update statuses, and filter orders. |
Customers |
| Access customer profiles and engagement data. |
Analytics |
| Deep dive into store performance and visitor metrics. |
🚀 Quick Start
1. Prerequisites
Salla Partner Portal account with an active OAuth App.
2. Installation
git clone https://github.com/your-username/salla-mcp-server.git
cd salla-mcp-server
npm install3. Configuration
Copy the example environment file:
cp .dev.vars.example .dev.varsUpdate .dev.vars with your Salla credentials:
SALLA_CLIENT_ID="your_client_id"
SALLA_CLIENT_SECRET="your_client_secret"
ENCRYPTION_KEY="generate_using_openssl_rand_hex_32"
# ... other vars from .dev.vars.example4. Development & Local Testing
npm run devYour server will run at http://localhost:8787. The MCP endpoint is /sse.
🤖 Using with AI Assistants
Claude Desktop
Add this to your claude_desktop_config.json. You can use the live hosted version directly:
{
"mcpServers": {
"salla": {
"command": "npx",
"args": ["mcp-remote", "https://salla-mcp-server.inlustris.workers.dev/sse"]
}
}
}Or use http://localhost:8787/sse if running locally.
Example Prompts to Try:
🛒 "List all products in the 'Electronics' category that are on sale."
📈 "Give me a summary of my store's performance for this month."
📦 "What's the status of order #123456? If it's processing, mark it as shipped."
👥 "Find customers who haven't ordered anything in the last 30 days."
🌐 Deployment
Deploy to your own Cloudflare account in seconds:
npx wrangler deployNote: Don't forget to add your Salla Redirect URI in the Partner Portal:
https://your-worker.your-subdomain.workers.dev/callback/salla
🤝 Contributing
We love contributions! Whether it's adding new Salla API endpoints or improving the AI prompts.
Fork the repo
Create your branch:
git checkout -b feature/amazing-featureCommit changes:
git commit -m 'Add amazing feature'Push:
git push origin feature/amazing-featureOpen a Pull Request
📜 License
Distributed under the MIT License. See LICENSE for more information.
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