Taboola

Acerca de

This tool serves as a versatile Model Context Protocol (MCP) server, primarily designed to retrieve recommendations from the Taboola API. It offers a `fetchRecommendations` function that allows users to easily get publisher-specific content recommendations using their API keys. The server is highly adaptable, supporting both local development via STDIO transport and remote HTTP deployment, making it suitable for a wide range of use cases from testing to production environments. Its robust configuration options, extensive cloud deployment guides, and Docker support ensure flexible and scalable integration.

Características Principales

• Flexible MCP server with fetchRecommendations functionality
• Provides a `fetchRecommendations` function for Taboola API
• Configurable via command-line arguments and environment variables
• Extensive cloud deployment options (Render, Docker, Heroku, AWS, GCP, Azure)
• Supports local (STDIO) and remote (HTTP) deployment modes
• 0 GitHub stars

Casos de Uso

• Local development and testing of Taboola API integrations with MCP Inspector
• Production deployment of a Taboola recommendation service on various cloud platforms
• Deploying a remote HTTP server to provide Taboola recommendations to clients