Z

Zotero

The Zotero MCP Connector is a tool for integrating the local Zotero literature library with the Claude desktop version, enabling direct reading and access through the local Web API.
2.5 points
51

What is the Zotero MCP Connector?

The Zotero MCP Connector is a tool that connects the local Zotero library with the Claude desktop application. It is implemented through the Model Context Protocol (MCP), allowing users to directly search for and access their literature materials.

How to use the Zotero MCP Connector?

After installation, you can configure and start using it through simple commands. You can synchronize your local Zotero library with Claude in just a few steps.

Applicable scenarios

Suitable for researchers, students, or professionals who need to efficiently manage their personal literature resources.

Main features

Get all collectionsList all collections in the local Zotero library.
Get the contents of a specific collectionView the details of the literature in a specific collection.
Get literature detailsView the specific information of a piece of literature, such as the abstract.
Search the entire libraryConduct a keyword search in your entire Zotero library.
Get recently added literatureQuickly get the literature added in the past 10 days.

Advantages and limitations

Advantages
Seamlessly integrate Zotero with Claude to improve work efficiency.
No need to manually import literature data, with real-time synchronization.
Support multiple literature retrieval methods to meet diverse needs.
Limitations
Only support personal libraries, and team sharing is not supported yet.
Ensure that the Zotero version is 7 or higher.
Dependent on the network environment, which may affect the response speed.

How to use

Install the UV tool
Download and install the UV tool for running the MCP server.
Clone the project code
Clone the project code from GitHub to your local machine.
Enable the Zotero local API
Enable the local API in the Zotero settings.
Install the MCP plugin
Install the Zotero MCP plugin through the UV command.

Usage examples

Example 1: Get all collectionsShow how to list all collections in the local Zotero library.
Example 2: Search for literatureDemonstrate how to search for literature with a specific keyword.

Frequently Asked Questions

Does it support team-shared libraries?
How to solve the installation failure problem?
Can I customize the search scope?

Related resources

GitHub repository
The source code and documentation of the project.
Claude MCP documentation
Understand the basic knowledge of the MCP protocol.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
248
4 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
207
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
377
4 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
883
5 points
M
MCP Atlassian
MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.
Python
1.3K
5 points
M
MCP Logseq Server
An MCP server for interacting with the LogSeq note-taking app, providing various API tools to operate on note content.
Python
318
4.1 points
S
Solana Docs MCP Server
A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions
TypeScript
120
4.2 points
U
UI TARS Desktop
Certified
Changesets is an automated tool to help manage the version control and release process of multi-package or single-package codebases.
TypeScript
13.0K
5 points
Featured MCP Services
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase