"Using llama.cpp and Searxng with local models" matching MCP servers:

MCP server for private web search via self-hosted SearXNG with local reranking, full-page content fetching via Firecrawl, and optional Ollama-powered query expansion and summaries.

Privacy-respecting web search MCP server for AI assistants using SearXNG, with web search, URL reading, instance failover, and caching.

Enables AI assistants to perform web searches and read URL content via a SearXNG instance.

An MCP server that wraps a local SearXNG instance to provide private, customizable web search capabilities. It enables AI assistants to perform queries with support for specific parameters like results limits, language, and time ranges.

Provides structured search tools (web, news, images, videos, research) via a SearXNG instance, with direct URL reading disabled by default for security.

An MCP server for SearXNG that provides web search capabilities with concise model-visible output while preserving full result payloads in metadata. It supports search, parallel fetching, URL extraction, and research workflows through both local stdio and streamable HTTP transports.

An MCP server that integrates the SearXNG API for web search and URL content extraction with advanced features like pagination, caching, and proxy support.

An MCP server implementation that integrates the SearxNG API, providing web search capabilities.

Enables privacy-respecting web searches through SearXNG metasearch engine with customizable parameters like language, time range, categories, and engines. Supports safe search levels, pagination control, and basic authentication for secure search operations.

An MCP server that acts as a bridge to SearXNG instances, allowing AI models to perform web searches with privacy-focused search tools. It supports both STDIO and HTTP transports, featuring built-in rate limiting and session management.

An MCP server that enables web search capabilities by integrating with a SearXNG instance to aggregate results from over 130 engines. It allows users to perform filtered searches across categories like news, science, and social media while supporting advanced parameters for language and time range.

An MCP server that integrates the SearXNG API to provide web search with pagination, filtering, and URL content extraction.

Enables local LLMs in LM Studio to perform web searches through a privacy-focused local SearXNG instance. It features concurrent search capabilities, automatic result caching, and advanced filtering options like domain exclusion and time-range limits.

Enables AI agents to perform web searches and page fetching/crawling through self-hosted SearXNG and Crawl4AI, without depending on commercial search or scraping APIs.

Enables web search and content scraping from multiple engines via a local SearXNG instance, allowing AI assistants to retrieve and extract web content.

MCP server that exposes SearXNG search and HTTP fetch tools for AI agents, enabling web search and clean page text extraction via natural language.

An MCP server that allows searching through public SearXNG instances by parsing HTML content into JSON results, enabling metasearch capabilities without requiring JSON API access.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

An MCP server implementation that integrates the SearXNG API for powerful web search capabilities and uses @missionsquad/puppeteer-scraper to read and process live web content.

Free web search for your AI using public SearXNG instances, with parallel multi-server requests and throttling.