What is the Kagi MCP Server and how does it differ from direct API usage?
It provides a standardized MCP interface so LLMs can call Kagi’s search and summarizer APIs as tools, without the LLM needing direct API credentials or custom code.
@mgomes
基本信息
Kagi MCP server written in Go
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"kagi": {
"command": "./kagimcp",
"args": [],
"env": {
"KAGI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol (MCP) server that integrates with Kagi’s search and summarizer APIs, allowing Large Language Models (LLMs) to search the web and summarize web pages using Kagi’s privacy-focused search and AI capabilities.
Install by cloning the repository and building with Go (requires Go 1.18+ and a Kagi API key). Run with -t stdio for subprocess communication or -t sse -port 8080 for an HTTP server. Provide the API key via the KAGI_API_KEY environment variable or the -api-key flag. Integrate with Claude by adding a JSON entry under mcpServers in Claude’s configuration.
kagi_search and kagi_summarizeIt provides a standardized MCP interface so LLMs can call Kagi’s search and summarizer APIs as tools, without the LLM needing direct API credentials or custom code.
Go 1.18+ for building from source, and a Kagi API key (available to Kagi subscribers). No external services beyond Kagi’s APIs are required.
Data is sent to and from Kagi’s servers. The server supports two transports: stdio (subprocess communication) and SSE (HTTP server, default port 8080).
Set the `KAGI_API_KEY` environment variable or pass it via the `-api-key` command-line flag. The key is used to authenticate all requests to Kagi’s APIs.
Yes. Start the server in stdio mode and add a matching `mcpServers` configuration in Claude’s JSON settings, providing the command and API key.
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