AI Skill Hub 强烈推荐:zotero-mcp MCP工具 是一款优质的MCP工具。已获得 3.1k 颗 GitHub Star,AI 综合评分 8.2 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
zotero-mcp MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
zotero-mcp MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/54yyyu/zotero-mcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"zotero-mcp-mcp--": {
"command": "npx",
"args": ["-y", "zotero-mcp"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 zotero-mcp MCP工具 执行以下任务... Claude: [自动调用 zotero-mcp MCP工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"zotero-mcp_mcp__": {
"command": "npx",
"args": ["-y", "zotero-mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <a href="https://www.zotero.org/"> <img src="https://img.shields.io/badge/Zotero-CC2936?style=for-the-badge&logo=zotero&logoColor=white" alt="Zotero"> </a> <a href="https://www.anthropic.com/claude"> <img src="https://img.shields.io/badge/Claude-6849C3?style=for-the-badge&logo=anthropic&logoColor=white" alt="Claude"> </a> <a href="https://chatgpt.com/"> <img src="https://img.shields.io/badge/ChatGPT-74AA9C?style=for-the-badge&logo=openai&logoColor=white" alt="ChatGPT"> </a> <a href="https://modelcontextprotocol.io/introduction"> <img src="https://img.shields.io/badge/MCP-0175C2?style=for-the-badge&logoColor=white" alt="MCP"> </a> <a href="https://pypi.org/project/zotero-mcp-server/"> <img src="https://img.shields.io/pypi/v/zotero-mcp-server?style=for-the-badge&logo=pypi&logoColor=white" alt="PyPI"> </a> <a href="https://discord.gg/BvgjbcBUqg"> <img src="https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"> </a> </p>
Zotero MCP seamlessly connects your Zotero research library with ChatGPT, Claude, and other AI assistants (e.g., Cherry Studio, Chorus, Cursor) via the Model Context Protocol. Review papers, get summaries, analyze citations, extract PDF annotations, and more!
---
New to the command line? Try the community-built Zotero MCP Setup — includes a macOS GUI installer (DMG), one-click install scripts for Mac/Windows, and a step-by-step guide. No Terminal experience needed.
The base install is lightweight — it includes search, metadata retrieval, annotations, and write operations. No ML/AI dependencies are pulled in.
uv tool install zotero-mcp-server
zotero-mcp setup # Auto-configure (Claude Desktop supported)
pip install zotero-mcp-server
zotero-mcp setup # Auto-configure (Claude Desktop supported)
pipx install zotero-mcp-server
zotero-mcp setup # Auto-configure (Claude Desktop supported)
During setup or separately, configure semantic search:
```bash
zotero-mcp setup
zotero-mcp update-db
zotero-mcp update-db --fulltext
zotero-mcp update-db --force-rebuild
Full documentation is available at Zotero MCP docs.
Requirements - Python 3.10+ - Zotero 7+ (for local API with full-text access) - An MCP-compatible client (e.g., Claude Desktop, ChatGPT Developer Mode, Cherry Studio, Chorus)
For ChatGPT setup: see the Getting Started guide.
zotero-mcp setup --help # Get help on setup options zotero-mcp setup --semantic-config-only # Configure only semantic search zotero-mcp setup-info # Show installation path and config info for MCP clients
#### Configuration After installation, either:
1. Auto-configure (recommended):
zotero-mcp setup
2. Manual configuration: Add to your claude_desktop_config.json:
{
"mcpServers": {
"zotero": {
"command": "zotero-mcp",
"env": {
"ZOTERO_LOCAL": "true"
}
}
}
}
Example prompts: - "Search my library for papers on machine learning" - "Find recent articles I've added about climate change" - "Summarize the key findings from my paper on quantum computing" - "Extract all PDF annotations from my paper on neural networks" - "Search my notes and annotations for mentions of 'reinforcement learning'" - "Show me papers tagged '#Arm' excluding those with '#Crypt' in my library" - "Search for papers on operating system with tag '#Arm'" - "Export the BibTeX citation for papers on machine learning" - "Find papers conceptually similar to deep learning in computer vision" (semantic search) - "Research that relates to the intersection of AI and healthcare" (semantic search) - "Papers that discuss topics similar to this abstract: [paste text]" (semantic search)
Heavy ML/PDF dependencies are separated into optional extras so the base install stays fast and small:
| Extra | What it adds | Install command |
|---|---|---|
semantic | Semantic search via ChromaDB, sentence-transformers, OpenAI/Gemini embeddings | pip install "zotero-mcp-server[semantic]" |
pdf | PDF outline extraction (PyMuPDF) and EPUB annotation support | pip install "zotero-mcp-server[pdf]" |
scite | [Scite](https://scite.ai) citation intelligence — tallies and retraction alerts (no account needed) | pip install "zotero-mcp-server[scite]" |
all | Everything above | pip install "zotero-mcp-server[all]" |
For example, with uv:
uv tool install "zotero-mcp-server[all]" # Full install with all features
uv tool install "zotero-mcp-server[semantic]" # Just semantic search
If you only need basic library access (search, read, annotate, write), the default install with no extras is all you need.
Keep zotero-mcp up to date with the smart update command:
```bash
zotero-mcp update ```
zotero-mcp setup --semantic-config-only ```
Available Embedding Models: - Default (all-MiniLM-L6-v2): Free, runs locally, good for most use cases - OpenAI: Better quality, requires API key (text-embedding-3-small or text-embedding-3-large) - Gemini: Better quality, requires API key (gemini-embedding-001)
Update Frequency Options: - Manual: Update only when you run zotero-mcp update-db - Auto on startup: Update database every time the server starts - Daily: Update once per day automatically - Every N days: Set custom interval
Zotero Connection: - ZOTERO_LOCAL=true: Use the local Zotero API (default: false) - ZOTERO_API_KEY: Your Zotero API key (for web API) - ZOTERO_LIBRARY_ID: Your Zotero library ID (for web API) - ZOTERO_LIBRARY_TYPE: The type of library (user or group, default: user) - ZOTERO_WEBDAV_URL: Optional WebDAV folder URL for direct attachment downloads in remote mode - ZOTERO_WEBDAV_USERNAME: Optional WebDAV username - ZOTERO_WEBDAV_PASSWORD: Optional WebDAV password
Semantic Search: - ZOTERO_EMBEDDING_MODEL: Embedding model to use (default, openai, gemini) - OPENAI_API_KEY: Your OpenAI API key (for OpenAI embeddings) - OPENAI_EMBEDDING_MODEL: OpenAI model name (text-embedding-3-small, text-embedding-3-large) - OPENAI_BASE_URL: Custom OpenAI endpoint URL (optional, for use with compatible APIs) - GEMINI_API_KEY: Your Gemini API key (for Gemini embeddings) - GEMINI_EMBEDDING_MODEL: Gemini model name (gemini-embedding-001) - GEMINI_BASE_URL: Custom Gemini endpoint URL (optional, for use with compatible APIs) - ZOTERO_DB_PATH: Custom zotero.sqlite path (optional)
```bash
s, g, ann, coll) for interactive useFor accessing your Zotero library via the web API (useful for remote setups):
zotero-mcp setup --no-local --api-key YOUR_API_KEY --library-id YOUR_LIBRARY_ID
zotero-cli is a standalone terminal interface to your Zotero library. It uses the same tools as the MCP server but without needing an AI assistant — useful for quick lookups, shell scripts, and automation.
Use zotero-mcp when your AI client supports MCP (Claude Desktop, ChatGPT). Use zotero-cli for shell scripts, cron jobs, or agentic pipelines with shell access (e.g. Claude Code) — CLI commands cost far fewer tokens than MCP tool schemas and compose naturally with Unix pipes.
Both share the same configuration set up by zotero-mcp setup.
```bash
A 45-point live integration test plan is included at docs/integration-test-plan.md. It's designed to be given to Claude in Claude Desktop, which will execute each test against your real Zotero library. Tests cover all tools, PDF attachment cascade, attach_mode, BetterBibTeX lookups, and multi-step showcase prompts. See the file for full instructions.
Zotero MCP 是一个与 Zotero 研究库进行聊天的本地或 Web 应用程序,支持本地或 Web 访问。它结合了 Zotero 和 Claude 的功能,提供了一个强大的研究工具。
✨ Zotero MCP 的功能包括:搜索、元数据检索、注释、写入操作等。它不依赖于 ML/AI 依赖项,保持了轻量级的安装体积。
安装 Zotero MCP 可以使用 uv 工具或 pip 安装。推荐使用 uv 工具安装。安装后可以使用 `zotero-mcp setup` 命令进行自动配置。
使用 Zotero MCP 可以通过 Claude Desktop 或 CLI 模式进行。CLI 模式使用 `zotero-cli` 命令,可以直接在终端中使用 Zotero 库的功能。
Zotero MCP 的配置可以通过 `claude_desktop_config.json` 文件进行。配置文件中可以设置 MCP 服务器、环境变量等参数。
Zotero MCP 提供了一个 CLI 接口,允许用户直接在终端中使用 Zotero 库的功能。CLI 接口使用 `zotero-cli` 命令,可以实现搜索、浏览和编辑 Zotero 库的功能。
Zotero MCP 的工作流包括安装、配置、使用等步骤。用户可以通过阅读工作流文档来了解如何使用 Zotero MCP 的功能。
Zotero MCP 的常见问题包括安装问题、配置问题、使用问题等。用户可以通过查看 FAQ 文档来解决这些问题。
高质量的开源MCP工具,填补AI与文献管理的空白。活跃维护、星标高、适合学术研究者。架构清晰,集成度好。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,zotero-mcp MCP工具 是一款质量优秀的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | zotero-mcp |
| 原始描述 | 开源MCP工具:Zotero MCP: Connects your Zotero research library with Claude and other AI assis。⭐3.1k · Python |
| Topics | 文献管理AI助手MCP协议语义搜索研究工具 |
| GitHub | https://github.com/54yyyu/zotero-mcp |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-14 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
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