"Zotero" matching MCP servers:

Allows AI to interact with your Zotero library.

Enables AI clients to read PDFs and selections from Zotero, edit Better Notes in real time, and synchronize Markdown notes.

An AI-powered research assistant that integrates with Zotero to read academic papers, create intelligent annotations, and generate structured notes. It enables users to highlight findings, explain formulas, and write comprehensive summaries directly within their Zotero library through natural language commands.

Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol, allowing you to search your library, access content, discuss papers, get summaries, and analyze citations.

MCP server for local Zotero on Windows and WSL, enabling read access to items, collections, annotations, and notes via the Local API, and safe write operations through a plan/apply workflow with Web API verification.

Enables MCP clients to search a Zotero library, read items, take notes, organize collections, and perform semantic search over PDFs.

Read+write MCP server for Zotero with full write support — create items, manage collections, find and merge duplicates, import BibTeX

Lets MCP clients search and read a local Zotero library—metadata, PDF full text, highlights, notes, collections and tags—and add new papers by DOI or arXiv ID or bulk-import BibTeX/RIS citations, all without writing to the original database.

An MCP server for the Zotero Web API v3 that lets you search, read, and write items, collections, tags, and notes in a Zotero library, supporting literature-review workflows.

Enables AI agents to search, read, annotate, and manage a local Zotero library via the Model Context Protocol, with full local storage and no cloud dependency.

Enables read-only search and analysis of your local Zotero library, including full-text PDF retrieval with OCR fallback, annotations, and cross-item comparison for synthesis.

A server that enables MCP clients like Anthropic Claude App to interact with local Zotero libraries, allowing users to search papers, manage notes, and access research materials through natural language.

Enables LLM clients to browse and query your Zotero library through tool calls. Provides access to Zotero-specific functions like listing open tabs, searching items, and browsing collections via a local MCP server running inside Zotero.

Connects your Zotero research library with AI assistants (Claude, ChatGPT, etc.) via the Model Context Protocol, enabling paper review, summaries, annotations, and semantic search both locally and through the web API.

Enables natural language interaction with Zotero libraries, allowing users to search, retrieve, and update papers and metadata via AI assistants like Claude and Gemini.

A Zotero library management MCP server designed for Cloudflare Workers that enables searching, reading, and writing library items. It allows users to manage metadata, full-text content, and attachments through natural language interactions.

Enables Zotero 10 library management via MCP, allowing search, metadata retrieval, annotation and collection management, and optional write operations (notes, tags, metadata, items) through a local Streamable HTTP endpoint.

Local MCP server for research workflows that integrates Zotero for source management, MinerU for PDF full-text extraction, and Tencent ima as a knowledge base, providing 34 tools and 7 skills for AI agents to conduct traceable literature analysis.

Enables Poke to search and manage Zotero research library, including items, tags, collections, notes, full text, and annotations.

Enables AI assistants to read, search, and fully manage a Zotero library locally—organizing collections, editing items, uploading files, and managing notes, tags, and trash—through the local Zotero API without cloud sync.