Fetch and cache COVID-19 data from Our World in Data (OWID)
Transform data using dbt and DuckDB
Create a natural language interface for data exploration using generic SQL tools

Features

Comprehensive Data: Global COVID-19 statistics from OWID
Data Transformation: dbt models for efficient querying
Natural Language: LLM-friendly query interface (prompt only)

Getting Started

Prerequisites

Make sure you have the required tools installed:

# Install MXCP and dependencies
pip install mxcp dbt-core dbt-duckdb

# Option: Install in development mode
cd /path/to/mxcp
python -m venv .venv && source .venv/bin/activate
pip install -e .

Running the Example

Navigate to the COVID example:
```
cd examples/covid_owid
```
Initialize the data:
```
dbt deps
dbt run
```
Start the MCP server:
```
mxcp serve
```

🔌 Claude Desktop Integration

To use this example with Claude Desktop:

1. Locate Claude's Configuration

Find your Claude Desktop configuration file:

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

2. Configure the MCP Server

Add this configuration to your claude_desktop_config.json:

If you installed MXCP globally:

{
  "mcpServers": {
    "covid": {
      "command": "mxcp",
      "args": ["serve", "--transport", "stdio"],
      "cwd": "/absolute/path/to/mxcp/examples/covid_owid"
    }
  }
}

If you're using a virtual environment:

{
  "mcpServers": {
    "covid": {
      "command": "/bin/bash",
      "args": [
        "-c",
        "cd /absolute/path/to/mxcp/examples/covid_owid && source ../../.venv/bin/activate && mxcp serve --transport stdio"
      ]
    }
  }
}

Important: Replace /absolute/path/to/mxcp with the actual path to your MXCP installation.

3. Restart Claude Desktop

After saving the configuration, restart Claude Desktop to load the new MCP server.

4. Test the Integration

In Claude Desktop, try asking:

"Show me COVID-19 cases in the United States for 2022"
"Compare vaccination rates between France and Germany"
"What were the peak hospitalization rates in the UK?"

🛠️ Other MCP Clients

This example works with any MCP-compatible tool:

mcp-cli: Interactive command-line interface
Custom integrations: Build your own using the MCP specification

Example Usage

The LLM can help you analyze:

Case numbers and death rates
Vaccination progress
Hospital occupancy
Regional comparisons
Policy effectiveness

All queries are handled through the generic SQL query interface. You can:

Use list_tables to see available tables
Use get_table_schema to inspect table structure
Use execute_sql_query to run custom SQL queries

Implementation Details

The example uses:

dbt for data transformation
DuckDB for efficient storage and querying
SQL analytics for complex calculations
Type-safe parameters for filtering

Project Structure

covid_owid/
├── endpoints/                # MCP endpoint definitions
│   └── prompt.yml           # LLM system prompt (generic query interface only)
├── models/                  # dbt transformations
│   ├── covid_data.sql      # Main COVID-19 statistics
│   ├── hospitalizations.sql # Hospital/ICU data
│   └── locations.sql       # Geographic data
├── mxcp-site.yml           # MCP configuration
└── dbt_project.yml         # dbt configuration

Learn More

OWID COVID-19 Data - Data source
dbt Documentation - Data transformation
DuckDB Documentation - Database engine
MXCP Documentation - MCP framework