4get

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This tool functions as a Model Context Protocol (MCP) server, specifically designed to bridge Large Language Models (LLMs) with the capabilities of the 4get.ca Meta Search Engine. Leveraging FastMCP, it offers LLMs direct access to web, image, and news search functions, enriching their contextual understanding with real-time information. The server is built for robust, production-ready environments, featuring intelligent caching, resilient retry logic, and extensive configurability, enabling LLMs to perform comprehensive searches with rich, structured responses.

Características Principales

• Multi-search functions for web, image, and news with comprehensive result formatting
• Smart caching with TTL-based response caching and configurable size limits
• Robust retry logic with exponential backoff for rate-limited and network errors
• Production-ready with connection pooling, comprehensive error handling, and validation
• Rich responses including featured answers, related searches, and pagination support
• 2 GitHub stars

Casos de Uso

• Integrate web, image, and news search capabilities into LLM-powered applications and agents
• Enable AI assistants and IDEs (like Cursor and OpenAI Codex) to access real-time search data
• Directly access the 4get.ca API within Python applications using the bundled async client