What environment variable is required?
Set `KAGI_API_TOKEN` to your Kagi API token.
@kamou
基本信息
Kagi search MCP server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-kagi-search-kamou": {
"command": "uv",
"args": [
"sync"
]
}
}
}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。
MCP Kagi Search is an MCP server that provides the kagi_search tool, allowing AI assistants to perform web searches via the Kagi search engine. It is intended for developers who want to integrate Kagi search capabilities into MCP-compatible applications.
Install dependencies with uv sync, set the KAGI_API_TOKEN environment variable, run the server in development mode using mcp dev src/mcp_kagi_search/server.py, then test via the MCP Inspector at http://localhost:5173 using the kagi_search tool. Alternatively, install the CLI with uv pip install . and use the mcp-kagi-search command.
kagi_search tool for web searches.mcp-kagi-search).Set `KAGI_API_TOKEN` to your Kagi API token.
Run `mcp dev src/mcp_kagi_search/server.py` and open the MCP Inspector at `http://localhost:5173`.
In the MCP Inspector, run the `kagi_search` tool with a query (e.g., "steve jobs").
Install with `uv pip install .`, then verify with `mcp-kagi-search --help`.
It provides a single tool named `kagi_search`.

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