The Official Model Context Protocol (MCP) server for Kagi search & related tools (search, summarizer, etc.).
https://github.com/kagisearch/kagimcpFinally, a search MCP server that doesn't feed you SEO spam and affiliate links. The official Kagi MCP server brings privacy-focused, high-quality search directly into your AI conversations.
You know the drill - ask your AI assistant to search for something technical, and you get flooded with content farm results and affiliate-stuffed listicles. Meanwhile, the actual useful information is buried on page 3.
Kagi MCP server fixes this by connecting your AI tools directly to Kagi's clean, ad-free search results. No more manually copying and pasting search queries between tabs or explaining to Claude why that top result is actually useless.
Real Search Results: Kagi's algorithm prioritizes quality content over SEO gaming. When you ask for technical documentation or research, you get actual answers from authoritative sources.
Built-in Summarization: Point it at any URL - articles, YouTube videos, PDFs - and get intelligent summaries without leaving your AI conversation. The summarizer uses multiple engines (Cecil, Daphne, Muriel) that you can configure based on your needs.
Privacy by Design: No tracking, no data collection, no advertising profiles. Your search queries stay between you and Kagi.
Zero Configuration Friction: Install via uvx in one command, drop your API key in Claude Desktop config, and you're running searches immediately.
Research and Analysis: "Search for recent papers on vector databases and summarize the key architectural differences" - gets you curated academic sources, not vendor marketing.
Technical Documentation: "Find the latest FastAPI deployment best practices" - returns actual documentation and community guides instead of tutorial spam.
Content Processing: "Summarize this 45-minute conference talk: [YouTube URL]" - extracts key points without watching the entire video.
Competitive Intelligence: "Search for recent funding rounds in the AI tooling space" - finds actual news sources and industry reports.
The fastest path is via Smithery:
npx -y @smithery/cli install kagimcp --client claude
Or directly with uvx:
{
"mcpServers": {
"kagi": {
"command": "uvx",
"args": ["kagimcp"],
"env": {
"KAGI_API_KEY": "your_key_here"
}
}
}
}
You need Kagi API access, which is currently in closed beta. Email [email protected] for access - they're pretty responsive about developer requests.
But here's the thing: if you're serious about incorporating search into your AI workflows, this is the only MCP server that consistently delivers quality results. The difference between Kagi's curated results and generic web scraping is immediately obvious once you start using it.
The 119 stars and active development from the official Kagi team means you're not betting on a weekend project - this is production-ready infrastructure backed by a company that actually cares about search quality.
Repository: kagisearch/kagimcp