io.github.n24q02m/wet-mcp

Name: io.github.n24q02m/wet-mcp
Rating: 0.3 (5 reviews)
Author: n24q02m

平台与服务

by n24q02m

用于 web search、内容提取、academic research 与 library docs 查询的 MCP server，适合知识收集与研究工作。

5GitHub

什么是 io.github.n24q02m/wet-mcp？

用于 web search、内容提取、academic research 与 library docs 查询的 MCP server，适合知识收集与研究工作。

README

WET - Web Extended Toolkit MCP Server

mcp-name: io.github.n24q02m/wet-mcp

Open-source MCP Server for web search, content extraction, library docs & multimodal analysis.

Features

Web Search -- Embedded SearXNG metasearch (Google, Bing, DuckDuckGo, Brave) with filters, semantic reranking, query expansion, and snippet enrichment
Academic Research -- Search Google Scholar, Semantic Scholar, arXiv, PubMed, CrossRef, BASE
Library Docs -- Auto-discover and index documentation with FTS5 hybrid search, HyDE-enhanced retrieval, and version-specific docs
Content Extract -- Clean content extraction (Markdown/Text), structured data extraction (LLM + JSON Schema), batch processing (up to 50 URLs), deep crawling, site mapping
Local File Conversion -- Convert PDF, DOCX, XLSX, CSV, HTML, EPUB, PPTX to Markdown
Media -- List, download, and analyze images, videos, audio files
Anti-bot -- Stealth mode bypasses Cloudflare, Medium, LinkedIn, Twitter
Zero Config -- Built-in local Qwen3 embedding + reranking, no API keys needed. Optional cloud providers (Jina AI, Gemini, OpenAI, Cohere)
Sync -- Cross-machine sync of indexed docs via Google Drive (OAuth Device Code, no browser redirect)

Setup

With AI Agent -- copy and send this to your AI agent:

Please set up wet-mcp for me. Follow this guide: https://raw.githubusercontent.com/n24q02m/wet-mcp/main/docs/setup-with-agent.md

Manual Setup -- follow docs/setup-manual.md

Tools

Tool	Actions	Description
`search`	`search`, `research`, `docs`, `similar`	Web search (with filters, reranking, expand/enrich), academic research, library docs (HyDE), find similar
`extract`	`extract`, `batch`, `crawl`, `map`, `convert`, `extract_structured`	Content extraction, batch processing (up to 50 URLs), deep crawling, site mapping, local file conversion, structured data extraction (JSON Schema)
`media`	`list`, `download`, `analyze`	Media discovery, download, and analysis
`config`	`status`, `set`, `cache_clear`, `docs_reindex`	Server configuration and cache management
`setup`	`open_relay`, `status`, `skip`, `reset`, `complete`, `warmup`, `setup_sync`	Credential setup (browser relay, local-only mode, reset), status check, model warmup, Google Drive sync
`help`	--	Full documentation for any tool

Security

SSRF prevention -- URL validation on crawl targets
Graceful fallbacks -- Cloud → Local embedding, multi-tier crawling
Error sanitization -- No credentials in error messages
File conversion sandboxing -- Optional CONVERT_ALLOWED_DIRS restriction

Build from Source

bash

git clone https://github.com/n24q02m/wet-mcp.git
cd wet-mcp
uv sync
uv run wet-mcp

License

MIT -- See LICENSE.

常见问题