Hermes SearXNG MCP Server
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- AlicenseAqualityDmaintenanceEnables private web search and webpage content extraction using a local SearxNG instance, prioritizing user privacy and autonomy.222 PyPI2MIT
- FlicenseNot gradedqualityDmaintenanceEnables web search and content scraping from multiple engines via a local SearXNG instance, allowing AI assistants to retrieve and extract web content.1-
- AlicenseAqualityDmaintenanceEnables 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.3230 npm1MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to perform privacy-respecting web searches through SearXNG, with support for multiple search engines, categories, and advanced filtering options.230 npm27MIT
- FlicenseAqualityBmaintenanceEnables private, free web searches through a self-hosted SearXNG instance, replacing default search tools without API keys, rate limits, or third-party tracking.1-
- AlicenseNot gradedqualityAmaintenanceEnables 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.64 npmMIT
TDQS
Scored across 3 tools
web_search and get_content are clearly distinct: one discovers URLs, the other fetches a known URL. search_news overlaps with web_search since it is a news-specific wrapper, but the descriptions clearly frame it as a convenience for news queries, so an agent can usually disambiguate.
All tool names follow the same lowercase snake_case verb_noun pattern: web_search, get_content, and search_news. There are no vague verbs or mixed naming conventions.
At 3 tools, the set is close to the ideal size and covers the core search-and-fetch workflow. search_news is somewhat redundant with web_search(categories='news'), so it does not fully earn its place, but the overall count is still reasonable.
The main workflow of discovering results and extracting page content is covered well. Minor gaps exist, such as pagination/offset for browsing deeper result sets, but agents can work around these via num_results and the supported categories.