Provides web search capabilities to AI agents via the Model Context Protocol, enabling programmatic access to real-time information retrieval, research, and summarized results using customizable query parameters.

Provides Model Context Protocol search capabilities using a customizable Google Custom Search Engine, returning search result titles, links, and snippets to enable enhanced information retrieval and tool chaining for LLMs.

Provides persistent memory capabilities for AI agents by enabling storage, retrieval, and deletion of contextual information across sessions using Model Context Protocol with support for cloud, Supabase, and local storage modes.

Provides advanced web crawling, content vectorization, and retrieval-augmented generation (RAG) capabilities for AI agents and coding assistants using the Model Context Protocol, enabling efficient multi-source data indexing, semantic search, and configurable embedding models.

Connect agentic systems to web search capabilities via searXNG using the Model Context Protocol, enabling seamless, customizable search query integration for enhanced information retrieval.