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n24q02m/wet-mcp

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[![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 ke

<p><strong>n24q02m/wet-mcp</strong> is a search MCP server that [![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 ke.</p> <h2>How to Use n24q02m/wet-mcp</h2> <p>To use n24q02m/wet-mcp, you need an MCP-compatible client such as Claude Desktop, Cursor, or VS Code with an MCP extension. Once configured, the AI model can automatically use the tools provided by this server.</p>

Key Features

  • Open source with community contributions
  • API access for programmatic integration
  • Web search integration
  • Structured result parsing