Wet MCP

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作者：n24q02m

Open-source MCP server for AI agents: web search, content extraction, and library docs -- 5-strategy scraping, runs without API keys.

crawl4aimcpmcp-servermodel-context-protocolopen-sourcepythonsearxngdockerweb-scrapingweb-search

安装

$claude mcp add wet -- uvx wet-mcp

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工具（5 个）

config__open_relay

Re-trigger the zero-config relay setup flow (prints a fresh relay URL for the browser form). Registered via mcp-core's registeropenrelaytool so an LLM can restart setup without a manual restart.

extract

URL -> smart chunks dict (cleantext + markdown + structureddata + codeblocks + metadata) via web-core 5-strategy chain. Batch processing (up to 50 URLs), deep crawling, site mapping, local file conversion (PDF/DOCX/XLSX/PPTX/EPUB), structured extraction (JSON Schema)

help

Per-tool documentation: search, extract, media, config

media

list (discover URLs from gallery pages), download (SSRF-safe). analyze was removed in v2.0.0 -- use imagine-mcp.understand instead

search

Web (SearXNG metasearch), news, images, academic research (Scholar / arXiv / PubMed / CrossRef / Semantic Scholar / BASE), library docs (HyDE + FTS5), find similar pages. Includes docsresolve (library name -> ranked id), docsquery (version-aware + topic + 5000-token cap), docslockproject (Cabinets p