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cookjohn/zotero-mcp

Score: 61.3 Rank #66

It's a plugin extension in Zotero. Zotero MCP Plugin enables integration between AI assistants and Zotero through MCP. Zotero MCP Plugin 是一个 Zotero 插件,通过 MCP协议实现 AI 助手与 Zotero深度集成。插件支持文献检索、元 数据管理、全文分析和智能问答等功能,让 Claude、ChatGPT 等 AI 工具能够直接访问和操作您的文献库。

Overview

cookjohn/zotero-mcp is a TypeScript tool licensed under MIT. It's a plugin extension in Zotero. Zotero MCP Plugin enables integration between AI assistants and Zotero through MCP. Zotero MCP Plugin 是一个 Zotero 插件,通过 MCP协议实现 AI 助手与 Zotero深度集成。插件支持文献检索、元 数据管理、全文分析和智能问答等功能,让 Claude、ChatGPT 等 AI 工具能够直接访问和操作您的文献库。 Topics: literature-review, mcp-server, zotero.

Ranked #66 out of 25632 indexed tools.

In the top 1% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT
literature-reviewmcp-serverzotero

Signal Breakdown

Stars 461
Freshness 3d ago
Issue Health 92%
Contributors 3
Dependents 0
Forks 31
Description Detailed
License MIT

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"mcp plugin"

From the README

# Zotero MCP - Model Context Protocol Integration for Zotero

Zotero MCP is an open-source project designed to seamlessly integrate powerful AI capabilities with the leading reference management tool, Zotero, through the Model Context Protocol (MCP). This project consists of two core components: a Zotero plugin and an MCP server, which work together to provide AI assistants (like Claude) with the ability to interact with your local Zotero library.
_This README is also available in: [:cn: 简体中文](./README-zh.md) | :gb: English._

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## Fork us on Wechat
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## 📚 Project Overview

The Zotero MCP server is a tool server based on the Model Context Protocol that provides seamless integration with the Zotero reference management system for AI applications like Claude Desktop. Through this server, AI assistants can:

- 🔍 **Smart Search**: Multi-dimensional library search (title/creator/year/tags/fulltext/semantic) with boolean operators and relevance scor
Read full README on GitHub →
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