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by elliottlawson • Search & Retrieval
A lightweight Node.js MCP server that provides web search capabilities to AI assistants using the Kagi search API.
Perform real-time web searches through the Kagi API and return summarized, formatted results to downstream reasoning.
Execute multiple search queries in parallel and aggregate the results for comparison or synthesis.
A pre-built, easy-to-deploy MCP tool (kagi_web_search) to integrate Kagi-powered search into Claude Desktop, Cursor, or other MCP-compatible clients.
This repository implements a Node.js MCP server that exposes a kagi_web_search tool allowing AI agents to perform web searches via the Kagi API. It's written in TypeScript with pre-built JavaScript included so it can be run without a build step, supports multiple parallel queries, and returns formatted search results. The package is designed to integrate with MCP-compatible clients like Claude Desktop and Cursor and uses stdio for communication. It requires a Kagi API key (the Kagi search API is noted as being in closed beta and available by request).
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