WET - Web Extended Toolkit MCP Server

Renamed (2026-09-13): repo is now wet — CLI-first (wet command). PyPI package stays wet-mcp (PyPI policy blocks new project wet); MCP server is a secondary surface: run wet with no subcommand.

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

Renamed (2026-09-13): package/repo is now wet (CLI-first). Install: pip install wet. The MCP server remains available: run wet with no subcommand (bare = MCP passthrough); legacy package name wet-mcp still installs the old CLI.

Open-source MCP server for AI agents: web search, content extraction, and library docs.

Current release: v3.x. media(action="analyze") was removed in the v2.0.0 BREAKING release. Use imagine-mcp's understand action for vision/audio/video analysis. See docs/migration.md for the upgrade recipe.

Table of contents

• Features
• Status
• Quick install
• Configuration
• Documentation
• Tools
• CLI
• Comparison
• Security
• Build from Source
• Deploy to Cloudflare
• Smithery
• Trust Model
• License

Features

• Web Search -- Embedded SearXNG metasearch (Google, Bing, DuckDuckGo, Brave) with query expansion, TTL cache (1 h general / 5 min time-sensitive), standardized citation format, and 200-token snippet cap. Optional cloud search backends (Tavily, Brave, Exa, OpenRouter) as a fallback chain via SEARCH_BACKENDS, plus optional Cohere rerank (WET_SEARCH_RERANK)
• 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 -- 5-strategy escalation chain via n24q02m-web-core ScrapingAgent (basic_http -> tls_spoof -> render backends from BROWSER_BACKENDS (native / browserless / cf-browser-rendering) -> optional key-gated captcha), markitdown bridge for low-tier HTML/MD fallback, smart chunks structured output (clean text + markdown + JSON-LD + code blocks + metadata), 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 images / videos / audio files. analyze was removed in v2.0.0 -- use imagine-mcp.understand for vision/audio inference
• Anti-bot -- Stealth strategies bypass Cloudflare, Medium, LinkedIn, Twitter
• Zero Config -- Built-in local reference embedding + reranking through fastretrieval, no API keys needed. Optional cloud providers (Jina AI, Gemini, OpenAI, Cohere, xAI, Anthropic) selected per task via the EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS model chains for higher-quality vectors and LLM features
• Sync -- Cross-machine sync of indexed docs via Google Drive (OAuth Device Code, no browser redirect)

Quick install

# Method 1 (default): plugin install via Claude Code
/plugin marketplace add n24q02m/claude-plugins
/plugin install wet-mcp@n24q02m-plugins

# Method 2 (CLI): direct uvx invocation
claude mcp add wet -- uvx wet-mcp

# Method 3 (source-built container for HTTP / multi-device / OAuth)
docker build --target http -t wet-mcp:local .
docker run -d --name wet-mcp-http -p 8084:8080 \
  -v wet-data:/data -e PUBLIC_URL=https://wet.example.com \
  wet-mcp:local

# Method 4 (remote): point a client at an HTTP deployment
claude mcp add --transport http wet https://<your-host>/mcp

Install matrix (stdio unless noted; see the Setup page for full steps):

Public OCI image publication is discontinued. Existing historical registry tags remain untouched; new container deployments build from source or use the Cloudflare-managed registry.

The HTTP endpoint speaks Streamable HTTP and is OAuth-gated -- your client is prompted to authenticate in the browser on first connect (no API key to paste). Stand one up via Method 3 or the Deploy to Cloudflare section.