Websearch

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/sk-dev-ai-websearch

About

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools

8 read · 0 write · 0 delete · 3 not yet classified

Secrets

5 (API keys, tokens or passwords)

Install scripts

None found

Runs as

Python package

Tools (11)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• arxiv

  Search arXiv academic papers (single-source; for multi-source paper search use codesearch papers). Use raw_query for boolean operators (AND, OR, ANDNOT), phrase search (ti:"exact phrase"), wildcards (au:smith*). e.g. arxiv(query='cs.AI transformer', count=5)

• browser_action

  Drive a real browser page (needs a Chromium-based browser with --remote-debugging-port on this host, e.g. chromium/google-chrome/brave/Helium, set via WEBSEARCH_CDP_URL; run doctor() to check): navigate, click, type, press a key, evaluate JS, read page HTML/text, get the accessibility tree, or capture a PNG. Use when a page needs interaction (login form, search box, 'load more' button) — for plain reading use fetch, for structure use screenshot. One call = one fresh tab, closed afterwards; pass steps[] to run a multi-step flow (focus -> type -> Enter -> read) in a single tab. URLs are SSRF-val…

• doctor

  Preflight: report which lanes are usable RIGHT NOW and the exact command to enable the rest. Run this first, and whenever a feature returns empty results. Distinguishes 'broken' from 'needs optional setup' — the browser lanes (Google AI Mode, browser_action, bot-wall bypass) require a Chromium-based browser with --remote-debugging-port on the same host, so they are unavailable on headless servers; the keyless HTTP lanes work anywhere. Never prints key values, only which env var names are set. e.g. doctor()

• extract

  Extract structured JSON from a webpage using LLM, CSS, or regex strategies. Persistent cache — repeat calls free. For LLM strategy, describe what you want and get clean JSON back. For CSS strategy, provide field names (fastest, free). For raw page content, use `fetch` instead. Examples: extract(url='...', instruction='extract product name and price') or extract(url='...', fields=['name','price'], strategy='css')

• fetch

  URL to markdown/text. Auto-fallback: direct fetch → CDP for blocked/JS pages. Supports PDF, EPUB, DOCX. SSRF-protected. Use focus="query" to filter content by relevance. Paginated via offset (response: next_offset). Results cached 1h; cache_ttl=0 fresh. For structured JSON extraction use `extract` instead. e.g. fetch(url='https://example.com')

• map_site

  Discover all pages on a website via sitemap XML (primary) and HTML link extraction (fallback). Use to survey a site's pages before fetching individually. Returns the base domain, source type, total count, and an array of discovered URLs with metadata (last_modified, priority, changefreq when available). e.g. map_site(url='https://example.com')

• pdf_extract

  PDF extraction: PyMuPDF fast text-layer path, Docling+OCR fallback for scanned/image-only PDFs (CPU). Formats: markdown (default), json, html, or comma combos like 'markdown,json'. e.g. pdf_extract(input_path='/path/to/doc.pdf', format='markdown')

• ping

  Lightweight connectivity check — verifies internet and key search endpoints are reachable. Use before expensive calls when connectivity is uncertain. No params needed. e.g. ping()

• screenshot

  ARIA accessibility snapshot (LLM-readable page text). Use to see a page's interactive structure and what is actually visible; for readable article content use fetch. e.g. screenshot(url='https://example.com')

• search

  Multi-engine web search with dedup, reranking, and synthesis. Use for open research questions; for a known URL use fetch, for papers use arxiv, for encyclopedic facts use wikipedia. depth=1 returns snippets with relevance_score+fetch_relevance per result. depth>=2 fetches full pages + re-ranks. synthesize=True (default) returns Groq answer with [N] citations. google_ai_only skips all engines for Google AI Mode. e.g. search(query='latest AI models', depth=1)

• wikipedia

  Full Wikipedia API client: articles, summaries, categories, links, pageviews, revisions, backlinks, geosearch, recent changes, random pages. Use for encyclopedic facts; for open research use search. e.g. wikipedia(query='Python', action='summary')

Signals

Stars

1

Forks

0

Open issues

0

Weekly downloads

179

Last commit

Oct 23, 2026 (5 days ago)

Last release

Oct 25, 2026 (3 days ago)

Last package publish

Oct 24, 2026 (4 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.SK-DEV-AI/websearch

Version

1.10.0

Auth

API key

Packages

pypi skdev-websearch-mcp

License

MIT

Repository

github.com/SK-DEV-AI/websearch

First seen

Oct 24, 2026

Last checked

Oct 26, 2026

Source

Official MCP Registrygithub-graphql