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Guide to Zotero MCP for connecting Zotero library with AI assistants
Passed 20 of 22 test cases with the skill, and 15 of 22 without it.
and 4 more in the full report
5 fixed15 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want an AI model to clean up my research library by automatically deleting outdated entries and editing author names directly via Zotero MCP. Is this write operation supported by the MCP server?
| Checked | Without skill | With skill |
|---|---|---|
| States that access is strictly read-only and cannot modify the Zotero library | Missed | Passed |
The instructions your model reads when the skill loads.
Zotero MCP is an emerging tool with over 2,000 GitHub stars that implements the Model Context Protocol (MCP) to connect your Zotero reference library with AI assistants such as Claude. By exposing your Zotero library as a structured data source through MCP, it allows AI models to search, retrieve, and reason about your collected academic papers, annotations, and notes during conversations.
The Model Context Protocol provides a standardized way for AI applications to access external data sources. Zotero MCP leverages this protocol to give AI assistants direct, read-only access to your research library. Instead of manually copying and pasting paper details into a chat, you can ask an AI assistant to look up papers in your Zotero library, summarize your annotations on a specific topic, find related references, or help draft text based on your collected sources.
This integration is particularly valuable for researchers who maintain comprehensive Zotero libraries and want to leverage AI assistance for literature reviews, writing, and knowledge synthesis. The AI can work with the full context of your library rather than being limited to whatever you paste into the conversation, making interactions more productive and contextually grounded.
Zotero MCP requires both a running Zotero instance and an MCP-compatible AI client.
Prerequisites:
Install the MCP Server:
# Clone the repository
git clone https://github.com/54yyyu/zotero-mcp.git
cd zotero-mcp
# Install dependencies
npm install
# Build the server
npm run build
Configure Zotero:
Configure Your AI Client:
test cases passed, vs 15 / 22 without
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