local-web
Related Servers
Alternatives to local-web
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to run local multi-engine web searches, fetch pages through anti-bot fallback chains, and query site-specific sources such as GitHub, npm, PyPI, Docker Hub, and Twitter/X for structured results.MIT
- AlicenseAqualityAmaintenanceEnables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.10MIT
- AlicenseAqualityBmaintenanceEnables agents to search the live web and fetch URLs as clean Markdown, returning ranked search results and paginated page content through two lightweight tools.28 npmMIT
- FlicenseAqualityCmaintenanceEnables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.3-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to perform web research over MCP: search with a real browser, fetch JS-rendered pages, download PDFs and convert them to Markdown, then search and page through large documents using bounded previews so the context window isn't flooded.BSD Zero Clause
- AlicenseAqualityBmaintenanceGives AI agents local web search and page reading with no API keys, layering a SearXNG-backed search cache with browser-based fallbacks and returning clean page text from HTML, PDF, JSON, and archived snapshots. Fetches run in Docker alongside the search engine with SSRF protection, egress filtering, and untrusted-content marking so agents can safely retrieve live web data.2MIT
TDQS
Scored across 11 tools
The search tools are cleanly separated by domain (web, scholar, arXiv, GitHub, HF, libgen), and fetch_page/fetch_stealth/fetch_pdf have described fallback roles. There is still minor overlap between fetch_page, alphaxiv_fulltext, and fetch_pdf for retrieving arXiv/PDF content, but the descriptions mostly resolve when to use each.
All names are snake_case and readable, with fetch_* for retrieval and *_search for domain searches. The mix of verb-first (fetch_page), domain-first (arxiv_search), and prefixed tools (alphaxiv_lookup) is a minor inconsistency rather than a confusing one.
Eleven tools are well within a reasonable scope for a web research server. Each search domain and fetch variant covers a distinct source or retrieval mode, so the set does not feel bloated.
The surface covers general web search, academic/arXiv search, code/model/book search, plus page, PDF, stealth, and arXiv full-text fetching. Minor gaps remain around crawling/site mapping or generic file extraction, but core research workflows are covered.