JamBelg/MCP-graphql-Claude
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The MCP GraphQL Sales Server is a Model Context Protocol server that provides access to sales data through GraphQL queries, enabling AI assistants to interact with a Northwind-style sales database using natural language queries.
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.
š 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
š 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
š 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-server
2. Set up Python Environment
# Create virtual environment and install dependencies
uv venv
uv pip install -r requirements.txt
3. 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
š¦ Running the Application
Option 1: Start Both Servers
Terminal 1 - GraphQL Server:
python graphql_client/client.py
Terminal 2 - MCP Server:
python main.py
Option 2: Using uv
# GraphQL Server
uv run graphql_client/client.py
# MCP Server
uv run main.py
š Claude Desktop Integration
1. Locate Claude Desktop Config
macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Windows:
%APPDATA%\Claude\claude_desktop_config.json
2. 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.
š¬ 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?"
š 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.
š 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
}
}
}
š Project Structure
mcp-graphql-sales-server/
āāā README.md
āāā requirements.txt
āāā .env.example
āāā main.py # Entry point
āāā mcp_server/
ā āāā __init__.py
ā āāā server.py # MCP server setup
ā āāā tools/
ā āāā __init__.py
ā āāā graphql_tools.py # MCP tools for GraphQL queries
āāā graphql_client/
ā āāā __init__.py
ā āāā client.py # GraphQL server & schema
ā āāā queries.py # Additional GraphQL utilities
āāā config/
ā āāā __init__.py
ā āāā settings.py # Configuration management
āāā sales/
ā āāā data.json # Sales data file
āāā tests/
āāā test_tools.py
š 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
š 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.json
exists and is properly formatted - Permission 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 } } }"}'
š 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
š¤ 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
š License
This project is licensed under the MIT License - see the file for details.
š 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.