kindly-web-search-mcp-server and wet-mcp
One tool is a general-purpose MCP server for web search and content extraction, while the other is a specialized MCP server built on similar principles, focusing on robust content retrieval for AI coding tools and agents.
About kindly-web-search-mcp-server
Shelpuk-AI-Technology-Consulting/kindly-web-search-mcp-server
Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor, GitHub Copilot, Gemini, etc.) and AI agents (Claude Desktop, OpenClaw, etc.). Supports Serper, Tavily, and SearXNG.
This tool improves the quality of code generated by AI coding assistants by providing them with comprehensive, up-to-date web content. It takes your AI's web search queries and returns detailed information from sources like Stack Overflow and GitHub, including full conversations and answers, not just snippets. Software developers using AI coding tools like Claude Code or Cursor will find this helpful for debugging and building new features.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work