wet-mcp MCP server](https://glama.ai/mcp/servers/@n24q02m/wet-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@n24q02m/wet-mcp) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search (FTS5 + semantic). Built-in Qwen3 embedding, no API keys required.
Getting started
Add wet-mcp to your MCP-capable client — Claude Code, Cursor, Codex, and others — by following the setup at the source, which documents the exact command, configuration, and any required API keys.
