Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.snowleopard.ai/llms.txt

Use this file to discover all available pages before exploring further.

This guide shows you how to run a Snow Leopard MCP server using FastMCP and connect it to an MCP client.

​
Prerequisites

Don’t have data? Use our sample superheroes dataset to get started, or choose from our other sample datasets.

​
Run the Snow Leopard MCP server

Clone the example server: 
git clone https://github.com/SnowLeopard-AI/snowy-examples.git
cd snowy-examples/quickstart/fastmcp
Set your environment variables: 
export SNOWLEOPARD_API_KEY=your-snowleopard-key
export SNOWLEOPARD_DATAFILE_ID=your-datafile-id
Run the server: 
uv run fastmcp run server.py

​
Customize the tool description (optional)

The tool’s docstring tells agents when and how to use it. Edit server.py to describe your specific data: 
@mcp.tool
def get_data(user_query: str):
    """
    Retrieve customer order data.
    Contains order history, products, and customer information.
    Use this to answer questions about sales, orders, and customers.
    """
    return snowy.retrieve(user_query=user_query, datafile_id=datafile_id)

​
Connect to the MCP server

You can now connect the server to any application that supports MCP. Below we show how to connect with Claude Desktop.

​
Claude Desktop

Add the server to your Claude Desktop configuration (claude_desktop_config.json): 
{
  "mcpServers": {
    "snowy": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/snowy-examples/quickstart/fastmcp",
        "run",
        "fastmcp",
        "run",
        "server.py"
      ],
      "env": {
        "SNOWLEOPARD_API_KEY": "your-api-key",
        "SNOWLEOPARD_DATAFILE_ID": "your-datafile-id"
      }
    }
  }
}
Now you can ask Claude questions about your data.

​
Next steps