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Glama

E-commerce MCP Server

A FastMCP server for managing products, customers, and orders with full CRUD operations and data analysis capabilities.

Installation

# Create and activate virtual environment python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install fastmcp sqlalchemy aiosqlite

Running the Server

# Using fastmcp CLI fastmcp run ecommerce_server.py # Or directly with Python python ecommerce_server.py

Configuring with Claude Desktop

Add this to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "ecommerce": { "command": "/path/to/venv/bin/python", "args": ["/path/to/ecommerce_server.py"], "env": { "ECOMMERCE_DB_PATH": "/path/to/ecommerce.db" } } } }

Available Tools (25 total)

Product Management

Tool

Description

add_product

Add a new product to inventory

get_product

Get product by ID or SKU

list_products

List products with filtering (category, stock level)

update_product

Update product details

delete_product

Soft delete (deactivate) a product

update_stock

Add or subtract stock quantity

search_products

Search products by name/description

Customer Management

Tool

Description

add_customer

Add a new customer

get_customer

Get customer by ID or email

list_customers

List customers with filtering

update_customer

Update customer details

delete_customer

Soft delete (deactivate) a customer

search_customers

Search customers by name/email

Order Management

Tool

Description

create_order

Create a new order for a customer

add_order_item

Add a product to an order

remove_order_item

Remove a product from an order

get_order

Get order by ID or order number

list_orders

List orders with filtering (customer, status, date range)

update_order_status

Update order status (pending → confirmed → shipped → delivered)

Data Analysis & Reporting

Tool

Description

get_sales_summary

Revenue, order count, average order value for a period

get_top_products

Top selling products by quantity and revenue

get_top_customers

Top customers by spend and order count

get_inventory_report

Stock levels, out-of-stock items, category breakdown

get_customer_order_history

Complete order history for a customer

get_profit_analysis

Profit margins by product (requires cost data)

Example Usage

Adding Products

"Add a product: iPhone 15 Pro, SKU: IP15PRO, price $999, cost $750, 50 in stock, category Electronics"

Managing Customers

"Add customer John Doe, email john@example.com, phone 555-1234" "Find all customers in New York"

Creating Orders

"Create an order for customer ID 1" "Add 2 units of product ID 3 to order ID 1" "Mark order 1 as shipped"

Data Analysis

"Show me the sales summary for this month" "What are the top 5 selling products?" "Which products are low on stock?" "Show profit analysis for Q4"

Database

The server uses SQLite by default. The database file location can be configured via the ECOMMERCE_DB_PATH environment variable.

Schema

  • Products: id, name, description, sku, price, cost, quantity_in_stock, category, is_active

  • Customers: id, email, first_name, last_name, phone, address, city, state, postal_code, country, is_active

  • Orders: id, customer_id, order_number, status, total_amount, shipping_address, notes

  • OrderItems: id, order_id, product_id, quantity, unit_price

Order Statuses

  • pending - Order created, awaiting confirmation

  • confirmed - Order confirmed, stock reserved

  • shipped - Order shipped to customer

  • delivered - Order delivered

  • cancelled - Order cancelled, stock restored

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security - not tested
F
license - not found
-
quality - not tested

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