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Kagi

Enables AI assistants to perform web searches using the Kagi Search API.

About

Kagi provides a Node.js implementation of a Kagi MCP server, allowing AI assistants to access and utilize the Kagi search API for web searches. It supports parallel queries, formats search results, and is built with TypeScript and the official MCP SDK. The tool offers easy setup options, including running directly via npx or integration with Claude Desktop and Cursor, providing a streamlined way for AI models to gather information from the web. The unique tool name avoids conflicts with other search tools in an MCP environment.

Key Features

  • Built with TypeScript and the official MCP SDK
  • Provides web search capabilities using the Kagi API
  • Offers pre-built and ready-to-use functionality (no build step required)
  • Formats search results for easy consumption
  • Supports multiple parallel search queries
  • 1 GitHub stars

Use Cases

  • Integrating web search into AI assistants like Claude or Cursor
  • Providing a dedicated Kagi search tool in an MCP environment to avoid conflicts with other search functionalities
  • Enabling AI models to answer questions requiring up-to-date information from the web
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