What tools does kagi-server implement?
Only `kagi_search` is currently implemented. `kagi_summarize`, `kagi_fastgpt`, and `kagi_enrich` are planned but not yet available.
@ac3xx
基本情報
A Model Context Protocol server implementation for Kagi's API
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-servers-kagi": {
"command": "npx",
"args": [
"@smithery/cli",
"install",
"kagi-server",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A TypeScript-based MCP server that integrates the Kagi Search API, providing tools for web search operations. It is designed for use with AI assistants like Claude Desktop.
Install dependencies with npm install, build with npm run build, set the KAGI_API_KEY environment variable in a .env file, and add the server configuration to Claude Desktop's config file (e.g., claude_desktop_config.json). Alternatively, install via Smithery using npx @smithery/cli install kagi-server --client claude.
kagi_search tool for web searches via Kagi APIOnly `kagi_search` is currently implemented. `kagi_summarize`, `kagi_fastgpt`, and `kagi_enrich` are planned but not yet available.
Create a `.env` file in the project root with `KAGI_API_KEY=your_api_key_here`. The Kagi API is currently in private beta.
Use the MCP Inspector by running `npm run inspector`, which provides a URL for debugging tools in a browser.
Install via Smithery (`npx @smithery/cli install kagi-server --client claude`) or manually by adding the server config to `claude_desktop_config.json` with the path to `build/index.js` and the `KAGI_API_KEY` environment variable.
The server communicates over stdio using the Model Context Protocol.

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