feat: add Docker support with uv and update taskipy start command

- Add Dockerfile using uv for dependency management
- Add docker-compose.yaml for container orchestration
- Add .dockerignore to optimize builds
- Update taskipy start task with http transport and port 3001
- Update README.md and AGENTS.md with Docker documentation

AGENTS.md

@@ -1,8 +1,66 @@
 # TrytonMCP Agent Specification
 
+## Desarrollo
+
+### Configuración inicial
+
+```bash
+# Instalar dependencias con uv
+uv sync
+
+# Copiar configuración de ejemplo
+cp .env.example .env
+
+# Instalar dependencias de desarrollo y test
+uv pip install -e ".[test]"
+```
+
+### Comandos frecuentes
+
+```bash
+# Ejecutar servidor MCP (stdio)
+uv run fastmcp run src/tryton_mcp/server.py
+
+# Ejecutar tests
+python -m pytest tests/ -v
+
+# Verificar código
+ruff check src/ tests/
+ruff format src/ tests/
+```
+
+### Docker
+
+```bash
+# Construir imagen
+docker compose build
+
+# Iniciar contenedor
+docker compose up -d
+
+# Ver logs
+docker compose logs -f
+
+# Detener
+docker compose down
+```
+
+### Agregar nueva herramienta
+
+```python
+from tryton_mcp.services.base import TrytonService
+
+class YourService(TrytonService):
+    name = "your.model.method"
+
+    def execute(self, params: dict) -> List[dict]:
+        # Implementar lógica
+        pass
+```
+
 ## Overview
 
-TrytonMCP is an MCP (Model Context Protocol) server that enables LLMs to interact with Tryton ERP functionality through RPC calls. It wraps the `sabatron-tryton_rpc_client` library and exposes Tryton models as callable tools.
+TrytonMCP es un servidor MCP (Model Context Protocol) que permite a los LLMs interactuar con Tryton ERP a través de llamadas RPC. Envuelve la librería `sabatron-tryton_rpc_client` y expone los modelos de Tryton como herramientas invocables.
 
 ## Project Structure
 
@@ -12,10 +70,23 @@ TrytonMCP/
 │   └── tryton_mcp/
 │       ├── __init__.py
 │       ├── config.py          # Settings singleton with TrytonSettings
-│       └── server.py          # Main MCP server with tool definitions
-├── test_rpc.py                 # Standalone RPC test script
-├── pyproject.toml             # Project dependencies
-└── .env.example               # Environment variables template
+│       ├── server.py          # Main MCP server with tool definitions
+│       └── services/
+│           ├── base.py        # TrytonService base class
+│           ├── party.py       # Customer operations
+│           ├── product.py     # Products/Services
+│           ├── schedule.py    # Appointments
+│           └── service_center.py  # Service centers
+├── tests/                     # Test suite
+│   ├── conftest.py
+│   ├── test_customer.py
+│   └── test_server.py
+├── test_rpc.py                # Standalone RPC test script
+├── Dockerfile                # Docker container definition
+├── docker-compose.yaml        # Docker Compose orchestration
+├── .dockerignore              # Docker build exclusions
+├── pyproject.toml            # Project dependencies
+└── .env.example              # Environment variables template
 ```
 
 ## Architecture
@@ -56,14 +127,8 @@ def your_tool_name(param1: int, param2: str) -> List[dict]:
 ## Running the Server
 
 ```bash
-# Activate virtual environment
-source .venv/bin/activate
-
 # Run MCP server (stdio mode)
-python -m tryton_mcp.server
-
-# Or use fastmcp CLI
-fastmcp run tryton_mcp.server
+uv run fastmcp run src/tryton_mcp/server.py
 ```
 
 ## Configuration