Volleyball MCP Server
Access and query volleyball data (matches, teams, tournaments) from the VolleyballWorld API through SQL queries executed via a Model Context Protocol (MCP) server.
Core Capabilities:
Execute SQL SELECT queries on a SQLite database containing volleyball statistics
Query match results and team statistics to answer questions like "Which team won the most matches in 2025?"
Access tournament information and analyze team performance across competitions
Integrate with Claude Desktop for AI-assisted natural language to SQL translation
Explore data interactively using Datasette web interface for visualization
Read-only access - only SELECT statements are supported for data retrieval
Data Source: VolleyballWorld API data extracted via ETL process and stored in volleyball_data.db
Stores and queries volleyball tournament data (matches, teams, tournaments) from VolleyballWorld API in a SQLite database, enabling SQL queries through the MCP server's execute_query tool.
Click on "Deploy 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., "@Volleyball MCP Server show me the top 5 teams by wins in 2025"
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 VoleyBall
Servidor MCP (Model Context Protocol) que proporciona acceso a datos de voleibol mediante consultas SQL. El proyecto incluye un proceso ETL para obtener datos de la API de VolleyballWorld y almacenarlos en una base de datos SQLite.
Descripción
Este proyecto permite consultar datos de partidos, equipos y torneos de voleibol a través de un servidor MCP. Los datos se obtienen desde la API de VolleyballWorld mediante un scraper, se convierten a formato SQLite y se exponen mediante un servidor MCP que permite ejecutar queries SQL.
Related MCP server: mcp-sports-server
Requisitos
Python 3.11 o superior
uv(gestor de paquetes) - Instalar uv
Instalación
Clonar el repositorio:
git clone <url-del-repositorio>
cd MCP-VoleyBallInstalar dependencias:
uv syncUso
1. Proceso ETL (Extracción y carga de datos)
Primero necesitas obtener los datos de la API y convertirlos a base de datos SQLite:
Extraer datos de un torneo:
cd ETL
python scrapper.pyPor defecto, el scraper obtiene datos del torneo 1520 del año 2025. Puedes modificar los parámetros en scrapper.py según necesites.
Convertir JSON a SQLite:
python database_converter.pyEsto creará/actualizará el archivo volleyball_data.db en el directorio ETL/ con todos los datos estructurados.
2. Servidor MCP
Una vez que tengas la base de datos creada, puedes ejecutar el servidor MCP:
python main.pyPara desarrollo y pruebas del servidor MCP:
mcp dev main.pyO usando npx:
npx @modelcontextprotocol/inspector uv run main.pyEl servidor MCP expone una herramienta execute_query que permite ejecutar queries SELECT en la base de datos de voleibol.
3. Visualización con Datasette
Para visualizar y explorar los datos de manera interactiva usando Datasette, ejecuta:
cd ETL
datasette serve volleyball_data.dbEsto iniciará un servidor web local (por defecto en http://127.0.0.1:8001) donde podrás explorar las tablas, ejecutar queries SQL y visualizar los datos de manera interactiva.
Configuración del MCP Server en Claude Desktop
Para usar este servidor MCP con Claude Desktop, agrega la siguiente configuración en tu archivo de configuración MCP (normalmente ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"voleyball-server": {
"command": "/ruta/.venv/bin/python",
"args": [
"/ruta/main.py"
],
"cwd": "/ruta/MCP-VoleyBall"
}
}
}Asegúrate de usar la ruta absoluta al archivo main.py.
Estructura del Proyecto
MCP-VoleyBall/
├── main.py # Servidor MCP
├── db_connection.py # Conexión a la base de datos
├── ETL/
│ ├── scrapper.py # Extracción de datos de la API
│ ├── database_converter.py # Conversión JSON a SQLite
│ └── volleyball_data.db # Base de datos (se genera con el ETL)
└── pyproject.toml # Dependencias del proyectoEjemplo de Queries
Una vez configurado el servidor MCP, puedes hacer consultas como:
'Que equipo gano mas partidos en el ano 2025'Available Tools
1 toolexecute_queryB
Ejecuta una query SQL en la base de datos de voleibol.
Args:
query: La query SQL a ejecutar.
Returns:
Una lista de tuplas con los resultados de la query.
Inputs: query (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'execute_query' follows a clear verb_noun pattern.
One tool is too few for a server named 'Volleyball MCP Server', which suggests a domain that would typically require multiple operations (e.g., querying players, matches, statistics). A single SQL execution tool feels thin and under-scoped for this apparent purpose.
The tool surface is severely incomplete for a volleyball domain. It only provides raw SQL execution, lacking any domain-specific operations like retrieving player stats, match results, or team information, which would be expected for such a server.
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