What dependencies or runtime does Zotero MCP require?
Python 3.11+ and the `uv` package manager. All other dependencies are installed via `uv sync`.
@BirdInTheTree
基本信息
Read+write MCP server for Zotero with full write support — create items, manage collections, find and merge duplicates, import BibTeX
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"zotero": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/zotero-mcp",
"python",
"-m",
"zotero_mcp"
],
"env": {
"ZOTERO_LOCAL": "true"
}
}
}
}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。
Zotero MCP is a read+write MCP server with full write support for managing a Zotero library from AI assistants. It lets you create items, manage collections, find and merge duplicates, and import BibTeX from within Claude Code, Claude Desktop, or any MCP-compatible client. The server uses the Zotero Web API and requires a personal API key and user ID.
Install Python 3.11+ and uv, then clone the repo and run uv sync. Configure two environment variables: ZOTERO_API_KEY (get at https://www.zotero.org/settings/keys) and ZOTERO_USER_ID (shown on the same page). Add the server to your MCP client (e.g., Claude Code or Claude Desktop) by specifying the command uv run --directory /path/to/zotero-mcp python -m zotero_mcp and the required environment variables.
Python 3.11+ and the `uv` package manager. All other dependencies are installed via `uv sync`.
You must provide a Zotero Web API key and your Zotero user ID. These are set as environment variables `ZOTERO_API_KEY` and `ZOTERO_USER_ID`.
The server communicates with your Zotero library via the Zotero Web API. All data remains in your Zotero account; no additional storage is used.
Yes, the server includes full write support: create items, update, delete, manage collections, and merge duplicates.
The server uses the standard MCP protocol and can be used with any MCP-compatible client (e.g., Claude Code, Claude Desktop).

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