mcp-searxng and wet-mcp
These are competitors offering alternative implementations of MCP-based web search functionality, with A providing a SearXNG-specific backend while B offers a more generalized web search and content extraction approach.
About mcp-searxng
ihor-sokoliuk/mcp-searxng
MCP Server for SearXNG
This project helps AI assistant developers give their AI assistants powerful web search capabilities. It acts as a bridge, taking search requests from an AI assistant and sending them to a SearXNG instance. The AI assistant then receives structured search results and extracted web page content. Developers building custom AI assistants or integrations would use this.
About wet-mcp
n24q02m/wet-mcp
MCP server for web search, content extraction, and documentation indexing
Provides embedded metasearch (SearXNG) with semantic reranking and query expansion, plus specialized academic research across Google Scholar, arXiv, and PubMed. Features local full-text documentation indexing with HyDE-enhanced retrieval, batch content extraction from up to 50 URLs, and multimodal analysis—all with zero-config local embeddings (Qwen3) or optional cloud providers. Integrates as an MCP server with Claude, Gemini, and Codex via stdio transport, with automatic setup and encrypted credential storage.
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