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.
Enables privacy-friendly web searches through the SearXNG engine, with support for multiple engines, categories, languages, time ranges, and configurable result counts.
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.
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 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.
Enables MCP-capable agents to perform web and news searches and extract readable text from pages through a self-hosted SearXNG instance, with no API key and support for search-and-extract in a single call, including engine fallback for silent zero-result responses.
Provides structured search tools (web, news, images, videos, research) via a SearXNG instance, with direct URL reading disabled by default for security.
Enables AI agents to run privacy-friendly web, news, image, and video searches through their own SearXNG instance, with autocomplete, instance/engine discovery, and pagination, language, time-range, SafeSearch, engine, and domain filters. It also fetches pages and returns clean readable text, stripping headers, footers, navigation, sidebars, ads, and comment sections by default while letting the agent re-include them per call.
Exposes SearXNG web search and query autocomplete to AI clients, returning ranked results, instant answers, and suggestions with filters for category, language, time range, engines, page, and safe search. It is distributed via npx and requires a self-hosted SearXNG instance with the JSON format enabled.
Self-contained SearXNG MCP server in Docker. Aggregates 200+ search engines across 30+ categories with multi-page fanout, autocomplete, and engine discovery. Dual transport (HTTP + stdio), API key auth, and built-in Web UI reverse proxy.
Provides privacy-focused web search capabilities through SearXNG metasearch engine, enabling web, image, video, and news searches without tracking. Includes comprehensive research tools that aggregate and analyze results from multiple search engines.
Enables AI assistants to perform privacy-respecting web searches, read URLs, retrieve query suggestions, and inspect search-instance capabilities through the Model Context Protocol.
Integrates with SearXNG metasearch engine to provide powerful web search capabilities across multiple search engines with filtering options for categories, languages, time ranges, and safe search levels. Enables comprehensive web searches, autocomplete suggestions, and search engine configuration access through MCP-compatible applications.