A fully local MCP server that provides web search via self-hosted SearXNG and page-to-markdown conversion (static and JS-rendered), all aggregated behind a single endpoint for use with AI assistants.
A minimal MCP server that exposes a private SearXNG instance as a search tool over streamable-HTTP, enabling web search from the llama.cpp WebUI or any compatible MCP client.
Offline-first MCP server for web search and content fetching. It requires no external API keys and uses local models for intent classification, optional cross-lingual search, semantic re-ranking, and direct-answer extraction.
MCP server for multi-engine web search and web page fetching, supporting parallel search, content extraction, and optional LLM-powered search summarization and deep search.