MCP GraphQL Sales Server
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., "@MCP GraphQL Sales ServerShow me the top 10 customers by total sales"
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.
MCP GraphQL Sales Server
A Model Context Protocol (MCP) server that provides access to sales data through GraphQL queries. This server allows AI assistants like Claude to interact with a Northwind-style sales database through natural language queries.
🚀 Features
GraphQL API with comprehensive sales data queries
MCP Server compatible with Claude Desktop and other MCP clients
Rich Analytics including customer summaries, product analytics, and order statistics
Date-based Filtering for time-range queries
FastMCP integration for easy tool development
Related MCP server: Saleor MCP Server
📊 Available Data & Queries
Core Entities
Orders - Complete order information with details, shipping, and line items
Customers - Customer information and purchase history
Products - Product catalog with pricing and sales data
Employees - Employee information linked to orders
Query Capabilities
Get all orders or specific orders by ID
Filter orders by customer (name or ID)
Calculate customer spending totals and order counts
Generate sales summaries for customers and products
Date-range filtering and analytics
Top products by quantity or revenue
🛠 Installation & Setup
Prerequisites
Python 3.8 or higher
uv package manager
Claude Desktop (for MCP integration)
1. Clone the Repository
git clone https://github.com/JamBelg/MCP-graphql-Claude.git
cd mcp-graphql-sales-server2. Set up Python Environment
# Create virtual environment and install dependencies
uv venv
uv pip install -r requirements.txt3. Prepare Data
Ensure you have your sales data file at sales/data.json. The data should follow the Northwind database structure with orders containing:
{
"Order Details": {
"Order ID": "10248",
"Order Date": "1996-07-04",
"Total Price": "440.00"
},
"Customer Details": {
"Customer ID": "VINET",
"Customer Name": "Vins et alcools Chevalier"
},
"Products": [
{
"Product": "Queso Cabrales",
"Quantity": 12,
"Unit Price": 14.0,
"Total": 168.0
}
]
}4. Environment Configuration
Create a .env file (optional):
GRAPHQL_ENDPOINT=http://127.0.0.1:5001/graphql
LOG_LEVEL=INFO🚦 Running the Application
Option 1: Start Both Servers
Terminal 1 - GraphQL Server:
python graphql_client/client.pyTerminal 2 - MCP Server:
python main.pyOption 2: Using uv
# GraphQL Server
uv run graphql_client/client.py
# MCP Server
uv run main.py🔌 Claude Desktop Integration
1. Locate Claude Desktop Config
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json2. Add MCP Server Configuration
{
"mcpServers": {
"sales-graphql": {
"command": "/path/to/.local/bin/uv",
"args": [
"--directory",
"/full/path/to/mcp-graphql-sales-server",
"run",
"main.py"
]
}
}
}Important: Replace /full/path/to/mcp-graphql-sales-server with the actual absolute path to your project directory.
3. Restart Claude Desktop
Completely quit and restart Claude Desktop to load the new configuration.
💬 Usage Examples
Once integrated with Claude Desktop, you can ask questions like:
"Can you get all orders from the sales database?"
"Show me orders for customer 'ALFKI'"
"What's the total spent by customer 'Antonio Moreno'?"
"Get me the top 10 customers by sales volume"
"Show me order summary statistics"
"Find all orders from July 1996"
"Which products sell the most by quantity?"📊 Live Demo - Interactive Sales Report
Check out this interactive visualization showing the top 10 customers by sales and order count: Top 10 Customers Sales Report
This report demonstrates the kind of rich analytics and visualizations you can generate using this MCP server with Claude's data analysis capabilities.
🔍 GraphQL Playground
Access the GraphQL playground at: http://127.0.0.1:5001/graphql
Example Queries
# Get comprehensive order statistics
{
orderSummaryStats {
totalOrders
totalRevenue
uniqueCustomers
averageOrderValue
dateRange
}
}
# Get customer sales summary
{
customersSalesSummary(limit: 5, sortBy: TOTAL_SALES) {
customerName
totalSales
orderCount
}
}
# Get specific customer's orders
{
ordersByCustomerName(customerName: "Alfreds Futterkiste") {
orderDetails {
orderId
orderDate
totalPrice
}
products {
product
quantity
unitPrice
total
}
}
}📁 Project Structure
mcp-graphql-sales-server/
├── README.md
├── requirements.txt
├── .env.example
├── main.py # Entry point
├── mcp_server/
│ ├── __init__.py
│ ├── server.py # MCP server setup
│ └── tools/
│ ├── __init__.py
│ └── graphql_tools.py # MCP tools for GraphQL queries
├── graphql_client/
│ ├── __init__.py
│ ├── client.py # GraphQL server & schema
│ └── queries.py # Additional GraphQL utilities
├── config/
│ ├── __init__.py
│ └── settings.py # Configuration management
├── sales/
│ └── data.json # Sales data file
└── tests/
└── test_tools.py🛠 Available MCP Tools
The server provides these tools for AI interaction:
graphql_query- Execute raw GraphQL queriestest_connection- Test GraphQL endpoint connectivityget_all_orders- Retrieve all orders with complete detailsget_order_by_id- Get specific order by IDget_orders_by_customer_name- Get customer's orders by nameget_orders_by_customer_id- Get customer's orders by IDget_total_spent_by_customer- Calculate customer total spendingorders_after_date- Filter orders after specific dateorders_between_dates- Filter orders within date rangeget_order_summary- Get comprehensive order statistics
🐛 Troubleshooting
Common Issues
400 Bad Request errors: Ensure GraphQL server is running on port 5001
MCP tools not showing: Check Claude Desktop config path and restart the application
Data file errors: Verify
sales/data.jsonexists and is properly formattedPermission errors: Ensure all files are readable and paths are correct
Debug Logs
Check logs at: /tmp/mcp_sales_server.log
Testing GraphQL Directly
curl -X POST http://127.0.0.1:5001/graphql \
-H "Content-Type: application/json" \
-d '{"query": "{ orders { orderDetails { orderId } } }"}'📄 Requirements
fastmcp>=0.9.0
requests>=2.31.0
python-dotenv>=1.0.0
flask>=2.3.0
flask-graphql>=2.0.1
graphene>=3.3.0🤝 Contributing
Fork the repository
Create a feature branch (
git checkout -b feature/amazing-feature)Commit your changes (
git commit -m 'Add some amazing feature')Push to the branch (
git push origin feature/amazing-feature)Open a Pull Request
📝 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
Built with FastMCP for easy MCP server development
Uses Graphene for GraphQL schema generation
Inspired by the Northwind database sample data structure
Need help? Open an issue on GitHub or check the troubleshooting section above.
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