Do I need a Kagi account and API key?
Yes. A Kagi API key is required and must be set as the `KAGI_API_KEY` environment variable or passed via the `Authorization: Bearer <key>` HTTP header.
@kagisearch
基本情報
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
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": {
"kagimcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"kagimcp",
"--client",
"claude"
]
}
}
}web, news, videos, podcasts, and image search with optional page extracts, filters, and Kagi lenses.
fetch a page's full content as markdown.
The Kagi MCP server is an MCP‑compatible server backed by the Kagi API. It exposes web, news, video, podcast, and image search tools, as well as a page‑extraction tool, enabling AI assistants to search the web and retrieve full page content as markdown.
Use the hosted server at https://mcp.kagi.com/mcp with any HTTP‑capable MCP client, authenticating with your Kagi API key via a Bearer token. Alternatively, install the server locally using uvx kagimcp after setting the KAGI_API_KEY environment variable. Configuration options include search/extract timeouts, retry count, and hidden search parameters.
https://mcp.kagi.com/mcp — no install required.Yes. A Kagi API key is required and must be set as the `KAGI_API_KEY` environment variable or passed via the `Authorization: Bearer <key>` HTTP header.
The recommended install uses `uv`. For local setups, `uv` must be installed. The server runs as a Python package (`kagimcp`) via `uvx`.
Not yet. OAuth2 is on the roadmap; for now you must use a Kagi API key with Bearer authentication.
All requests are sent to the Kagi API. The server does not store data locally; results are returned directly to the MCP client.
Yes. Set `KAGI_SEARCH_TIMEOUT` (default 10s), `KAGI_EXTRACT_TIMEOUT` (default 30s), and `KAGI_MAX_RETRIES` (default 2) environment variables.
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