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

MCP server for local web search via SearXNG, providing unlimited queries without API keys or cost, with automatic fallback to public instances.

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

Enables privacy-friendly web searches through the SearXNG engine, with support for multiple engines, categories, languages, time ranges, and configurable result counts.

An MCP server for connecting agentic systems to search systems via searXNG.

Privacy-focused web search MCP server using SearXNG with Streamable HTTP transport, supporting authentication and advanced search parameters.

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 for SearXNG that provides LLM agents with advanced search tools, including engine and category targeting, multi-page fanout, and dynamic descriptions from the live engine pool.

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.

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

Enables MCP clients to perform web searches through a self-hosted SearXNG instance, offering privacy-focused metasearch without API keys or vendor lock-in.

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

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

Adds web search to Claude Desktop through a user-selected SearXNG instance, with engine and category selection, language and time-range filters, and bounded result counts.

Provides a bridge between AI assistants and SearXNG, a privacy-respecting metasearch engine, enabling web searches and engine discovery via the Model Context Protocol.

An MCP server that integrates with the SearXNG API to provide comprehensive web search capabilities with features like time filtering, language selection, and safe search. It also enables users to fetch and convert web content from specific URLs into markdown format.

A Model Context Protocol server that enables AI assistants to perform web searches using SearXNG, a privacy-respecting metasearch engine.

Provides web search capabilities using SearxNG, allowing AI assistants like Claude to search the web with a privacy-respecting metasearch engine.

Enables web search through a SearXNG instance via MCP, returning search result summaries.

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.

Enables web search through one or two SearxNG instances and retrieval of web pages, GitHub READMEs, and article text via MCP tools.