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MCP server for Zotero

@kujenga

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

kujenga

About MCP server for Zotero

Model Context Protocol (MCP) server for the Zotero API, in Python

#mcp#zotero#mcp-server

MCP server for Zotero config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "zotero-mcp": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "uv",
        "run",
        "zotero-mcp"
      ]
    }
  }
}

MCP server for Zotero tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Model Context Protocol server for Zotero?

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.

How to use Model Context Protocol server for Zotero?

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.

Key features of Model Context Protocol server for Zotero

  • Search items in your Zotero library using text queries.
  • Get detailed metadata for specific Zotero items.
  • Retrieve full text (PDF contents) from Zotero items.
  • Supports both local Zotero API and Zotero Web API.
  • Works with any MCP client or the MCP Inspector.
  • Can be run via uvx, pipx, Docker, or local clone.

Use cases of Model Context Protocol server for Zotero

  • Ask an AI assistant to find and summarize references from your Zotero library.
  • Automatically extract metadata and full text for literature reviews.
  • Integrate Zotero citations into AI-generated reports or documents.
  • Quickly query your personal research collection through natural language.

Frequently asked questions

1

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.

2

How does the server access my Zotero data?

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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