Zotero Connector
Integrates local Zotero libraries with Claude's Desktop interface, allowing users to access and manage their library collections via a local API.
What is Zotero Connector?
Zotero Connector is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to integrates local zotero libraries with claude's desktop interface, allowing users to access and manage their library collections via a local api.
Integrates local Zotero libraries with Claude's Desktop interface, allowing users to access and manage their library collections via a local API.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Integrates local Zotero libraries with Claude's Desktop inte
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx zotero-mcp-connectorConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Zotero Connector
What is Zotero Connector?
Zotero Connector is a Model Context Protocol (MCP) server that integrates local zotero libraries with claude's desktop interface, allowing users to access and manage their library collections via a local api. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Zotero Connector?
Follow the installation instructions on the Zotero Connector GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Zotero Connector?
Zotero Connector works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Zotero Connector free to use?
Yes, Zotero Connector is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
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Set Up Zotero Connector in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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