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
基本信息
A Model Context Protocol server implementation for Kagi's API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-servers-kagi": {
"command": "npx",
"args": [
"@smithery/cli",
"install",
"kagi-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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