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.
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.
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.
Enables web search, image search, and news search through a self-hosted SearXNG instance. Provides privacy-focused meta-search capabilities aggregating results from multiple search engines.
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.
Enables AI agents to perform privacy-respecting web searches through SearXNG, with support for multiple search engines, categories, and advanced filtering options.
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 web search capabilities via a SearXNG instance, allowing for filtered searches across categories like news, images, and science. It supports multi-language queries, time-range filtering, and safe search options to provide formatted results with metadata.
Provides AI agents with complete web search, crawling, and RAG capabilities through a Docker-based solution combining Model Context Protocol, Crawl4AI, SearXNG, and Supabase.
Provides AI agents with a comprehensive web intelligence stack including crawling, private search via SearXNG, and intelligent RAG capabilities for focused content extraction. It supports advanced features like semantic vector search and knowledge graph integration for code validation to enhance AI performance and reliability.
Enables AI agents to search the web, crawl websites, and perform intelligent RAG queries with semantic search capabilities. Includes integrated private search engine, vector database storage, and optional knowledge graph for AI hallucination detection in code repositories.