AIBase
EN
Explore
Zotero MCP Server
Z

Zotero MCP Server

Zotero MCP Server is a server prototype based on the Pyzotero API that allows users to search for all notes in the Zotero library through queries and obtain the complete content of specific items. The project provides search and retrieval functions and supports integration with the 5ire MCP client.
Knowledge management and memoryResearch and data#Literature management#Note search#API integration#Research tool.Python
2.5 points
9.6K
Open Site

Overview

Content Details

Alternatives

What is Zotero MCP Server?

Zotero MCP Server is a middleware service that integrates with the Zotero literature management tool through the Model Context Protocol (MCP). It allows users to search for content in the Zotero library through natural language queries and obtain detailed note and PDF information.

How to use Zotero MCP Server?

Users can interact with the server through MCP clients such as 5ire, send search queries, and obtain results. The server provides two main functions: searching the Zotero library and retrieving specific item content.

Applicable scenarios

Suitable for researchers, scholars, and students to quickly find and obtain research materials in the Zotero library, especially in scenarios where a large number of literatures need to be frequently consulted.

Main features

Zotero library search
Search for items in the Zotero library through natural language queries, and support setting the limit on the number of returned results.
Item content retrieval
Obtain the complete content of a specific item, including note and PDF information, through the item's unique identification key (key).
5ire client integration
Seamlessly integrate with the 5ire MCP client to provide a friendly chat-style interaction interface.
Advantages
Simplify the Zotero content retrieval process
Support natural language queries
Be compatible with existing MCP clients
Be open source and extensible
Limitations
Require the configuration of the Zotero API key
Currently, testing only supports specific environments
There may be performance limitations when searching large libraries

How to use

Installation preparation
Clone the repository and configure the.env file, and set the Zotero library ID and user type.
Environment setup
Use the uv package manager to create a virtual environment and install dependencies.
Configure the 5ire client
Add the ZoteroMCPServer tool to the 5ire MCP configuration file.
Start using
Interact with the Zotero MCP Server through the 5ire client.

Usage examples

Search for notes on a specific topic
The user wants to find all notes about machine learning.
Get PDF content
The user needs to view the detailed content of a specific PDF.

Frequently asked questions

How to obtain the Zotero library ID?
Why doesn't the search return any results?
Which file types are supported?

Related resources

Pyzotero GitHub repository
Zotero API client library
5ire MCP client
MCP chat interface client
Similar project - zotero-mcp-server
A similar Zotero MCP server implementation

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
16.1K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.3K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
9.9K
4.5 points
P
Paperbanana
Python
9.9K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
8.7K
4 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
10.6K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
17.6K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
16.9K
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
81.1K
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
39.0K
5 points
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
23.7K
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
27.2K
4.3 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#
38.1K
5 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
70.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 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
56.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase