Kagi FAQs

Question 1

Do I need a Kagi API key to use Kagi MCP?

Accepted Answer

Yes, a Kagi API key is a prerequisite for using Kagi MCP. You will need to request one from Kagi support. Please note that access to the Kagi Search API is currently in closed beta and may require a separate request.

Question 2

Is Kagi MCP compatible with AI applications like Claude Desktop?

Accepted Answer

Yes, Kagi MCP is fully compatible with Claude Desktop and Claude Code CLI. It offers straightforward configuration methods, including a recommended 'npx' approach for easy integration directly within your Claude Desktop setup.

Question 3

What are the benefits of using the Node.js implementation?

Accepted Answer

The Node.js implementation of Kagi MCP offers enhanced stability, particularly when deploying multiple instances, as it avoids common port conflicts. It serves as a robust and reliable alternative for integrating Kagi's AI capabilities into your projects.

Question 4

What core functionalities does Kagi MCP offer?

Accepted Answer

Kagi MCP provides two primary tools: 'kagi_search_fetch' for searching web content using the Kagi Search API, and 'kagi_summarizer' for summarizing documents, videos, and audio from URLs using the Kagi Summarizer API.

Question 5

What is Kagi MCP?

Accepted Answer

Kagi MCP (Model Context Protocol) is a Node.js server implementation that integrates Kagi Search and Kagi Summarizer APIs. It provides a stable, efficient alternative to the official Python implementation, especially for running multiple instances without port conflicts.

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