"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.

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.

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

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.

Integrates SearXNG API to give AI assistants web search and URL reading capabilities.

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.

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.

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 privacy-focused web search via SearXNG for MCP clients, allowing users to perform searches with customizable parameters through natural language.

MCP server that connects to a self-hosted SearXNG instance and exposes web search capabilities over MCP HTTP (JSON-RPC), enabling AI chatbots to search the internet for real-time information.

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.

A server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.

Enables MCP-compatible clients to perform web searches through a self-hosted SearXNG instance, with support for configurable languages, categories, time ranges, and safe search settings.