What dependencies are required to run the server?
Python and `uvx` (or `pipx`) are needed; alternatively, Docker can be used. For the local API, Zotero desktop must be running with the local API enabled.
@kujenga
基本情報
Model Context Protocol (MCP) server for the Zotero API, in Python
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": {
"zotero-mcp": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"run",
"zotero-mcp"
]
}
}
}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。
This project is a Python server that implements the Model Context Protocol (MCP) for Zotero, providing AI assistants with access to your Zotero library. It is designed for researchers and anyone who wants to interact with their personal Zotero collection through AI tools.
Configure the server using environment variables (ZOTERO_LOCAL, ZOTERO_API_KEY, ZOTERO_LIBRARY_ID, ZOTERO_LIBRARY_TYPE) and run it via uvx (or pipx) with your MCP client, such as Claude Desktop. Alternatively, use the provided Docker image with the Zotero Web API. Enable the local Zotero API in the Zotero desktop settings for direct access.
Python and `uvx` (or `pipx`) are needed; alternatively, Docker can be used. For the local API, Zotero desktop must be running with the local API enabled.
It connects either via the local API (Zotero desktop app, no API key required) or through the Zotero Web API (requires an
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