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Open-source MCP Server for web search, extract, crawl, academic research, and library docs with embedded SearXNG

Project description

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.

CI codecov PyPI Docker License: MIT

Python SearXNG MCP semantic-release Renovate

WET MCP server

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

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

Trust Model

This plugin implements TC-Local (machine-bound, single trust principal). See mcp-core/docs/TRUST-MODEL.md for full classification.

Mode Storage Encryption Who can read your data?
stdio (default) ~/.wet-mcp/config.json AES-GCM, machine-bound key Only your OS user (file perm 0600)
HTTP self-host Same as stdio Same Only you (admin = user)

License

MIT -- See LICENSE.

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