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websearch MCP Server

mcp-name: io.github.SK-DEV-AI/websearch

skills.sh · npx skills add SK-DEV-AI/skills

Multi-engine web search + fetch MCP server. Parallel fan-out across DuckDuckGo, Bing Web/News RSS, Tavily, Wikipedia, arXiv, Google News RSS, Brave (last resort — rate-limited from some networks), Google AI Mode, and intent-gated vertical lanes (MDN, Stack Exchange, GitHub, HN, Semantic Scholar, OSV vuln, grep.app/Sourcegraph code, GDELT news) — with consensus-merge dedup, a local cross-encoder reranker, and Groq synthesis with grounding checks.

Tools (11)

  • doctor — Run this first. Reports which lanes are usable right now and the exact command to enable the rest. Distinguishes "broken" from "needs optional setup". Never prints key values.
  • search — Open research questions. depth=1 snippets, depth≥2 full-page fetch + rerank. synthesize returns a Groq answer with [N] citations.
  • fetch — URL to markdown/text. Direct fetch with auto-fallback to a Chromium CDP browser for blocked/JS pages. PDF/EPUB/DOCX supported. Paginated (offset). For structured JSON use extract.
  • screenshot — ARIA accessibility snapshot (LLM-readable page text and interactive structure).
  • browser_action — Drive a real browser page (navigate, click, type, press a key, evaluate JS, read HTML/text, ARIA tree, screenshot). Use when a page needs interaction; for plain reading use fetch.
  • wikipedia — Full Wikipedia API client: articles, summaries, categories, links, pageviews, revisions, backlinks, geosearch, recent changes, random pages.
  • arxiv — arXiv paper search with boolean/phrase/wildcard query syntax (single-source; multi-source paper search lives in codesearch papers).
  • extract — Structured JSON from a page via CSS (fast, free), LLM, or regex strategies. Repeat calls cached.
  • pdf_extract — PDF to markdown/json/html. PyMuPDF fast path for text-layer PDFs, Docling+OCR fallback for scanned PDFs.
  • map_site — Survey a site's pages via sitemap XML (primary) + HTML link fallback, before fetching individually.
  • ping — Connectivity check for the internet and key search endpoints. Use before expensive calls when uncertain.

What works out of the box, and what is optional

Everything keyless works immediately after pip install. No API keys, no browser, no GPU: search (DuckDuckGo, Bing RSS, Wikipedia, arXiv, Stack Exchange, GitHub, HN, grep.app, Google News RSS), fetch, map_site, pdf_extract, screenshot.

Four lanes need optional setup. Run doctor() and it tells you which are live and prints the exact command for the rest:

Lane Needs On a headless server
Google AI Mode (search(google_ai_only=True)) a Chromium-based browser with --remote-debugging-port + a signed-in Google account in that profile unavailable — no signed-in browser exists there
browser_action same browser, no Google login needed unavailable
CDP fallback for bot-walled pages same browser unavailable; those pages return a terminal verdict instead of hanging
Cross-encoder reranking an optional local worker (separate download, ~500MB model) works if installed; otherwise scoring falls back to blended relevance

Enabling the browser lanes:

# any Chromium-family browser: chromium, google-chrome, brave, Helium, edge, vivaldi
chromium --remote-debugging-port=9222 --user-data-dir="$HOME/.mcp-browser"

Then open google.com in that window and sign in once (needed only for Google AI Mode). Point elsewhere with WEBSEARCH_CDP_URL=http://host:port.

# confirm
doctor()                          # per-lane report
search(query="...", google_ai_only=True)   # explicit error + fix list if no browser

The browser lanes are local-only by design. On a server the HTTP lanes are unaffected, so the server is still fully useful — it just cannot query Google AI Mode. Without a browser, google_ai_only=True returns a structured error naming the cause and the fix, never an empty result set.

Setup

Requires Python 3.14+.

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp run.example run   # fill in your API keys (run is gitignored — never commit it)
chmod +x run

Point your MCP client at run (stdio):

{ "websearch": { "command": "/path/to/websearch/run" } }

API keys (run)

Key Used for Required?
GROQ_API_KEYS query rewrite, synthesis, grounding checks Recommended (search works without, no synthesis)
TAVILY_KEYS Tavily engine lane Optional
NV_KEY NVIDIA embedding endpoint Optional

Everything else (DDG, Bing RSS, Wikipedia, arXiv, RSS) is keyless. Brave's HTML scrape is currently rate-limited from some networks, so Bing RSS is the primary general-web door and Brave is a last resort.

Install from PyPI

pip install skdev-websearch-mcp          # core install, small
pip install skdev-websearch-mcp[all]     # + browser/OCR/extract extras (multi-GB)

The websearch-mcp console script speaks MCP over stdio:

{ "websearch": { "command": "websearch-mcp" } }

Docker

docker build -t websearch-mcp .
docker run --rm -i websearch-mcp

Keys are passed at run time, never baked in: -e GROQ_API_KEYS=.... Heavy extras: docker build --build-arg EXTRAS="[all]" -t websearch-mcp .

Notes

  • Reranker (optional, local): ranking uses a local gte-reranker-modernbert-base cross-encoder over a Unix socket (RERANKER_MODEL overrides the model). Not bundled with the pip package — set RERANKER_WORKER=/path/to/worker.py to use one. Without it, ranking falls back to blended relevance scores; everything still works. doctor() reports whichever is in effect.
  • CDP browser (optional): bot-walled pages escalate to a Chrome DevTools endpoint (WEBSEARCH_CDP_URL, default 127.0.0.1:9222) when available; without it those pages return a terminal verdict instead of hanging.
  • Caching: fetch results cache for 1h (cache_ttl=0 forces fresh). No database, no state beyond the cache dir.
  • Safety: all user-URL fetches are SSRF-validated (private-IP blocking + redirect-hop revalidation + robots.txt gate).
  • Groq model split: synthesis + grounding + extract-llm use openai/gpt-oss-120b; rewrite/classify/expand/decompose use openai/gpt-oss-20b (the previous llama-3.1-8b-instant was retired by Groq and now 404s). Constants GROQ_SMART_MODEL/GROQ_CHEAP_MODEL in config.py.
  • Keyless lanes (all advisory-only): OSV.dev vuln vertical + NVD CVE enrichment; grep.app MCP code search (Sourcegraph backup); Bing Web RSS + Bing News RSS (Brave's scrape is rate-limited, GDELT 429s from some networks); Wikipedia vertical; Jina Reader pre-CDP tier; Wayback CDX-history recovery in enrich(); Common Crawl domain-survey assist in map_site.
  • Local reranker: a gte-reranker-modernbert-base cross-encoder runs as one shared worker over a Unix socket; either server spawns it on demand and it unloads when idle. Optional — without it results are engine-ranked only.
  • Optional keys (graceful keyless fallback): SE_KEY/STACKEXCHANGE_KEY (10k/day SE), S2_KEY/S2_API_KEY (dedicated S2 1 RPS).
  • Marginalia: best-effort lane only (shared public key pool, 503s under load); independent-index recall, no dedicated key wired (kontakt@marginalia.nu for one).

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