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.
Enables interaction with Zotero libraries for searching, managing collections, items, tags, and attachments, plus optional semantic search across PDFs via local embeddings.
Read-only MCP server that lets Claude or any MCP client search and retrieve metadata, notes, full text, citations, and BibTeX from your local Zotero library via its built-in API.
A Model Context Protocol server for Zotero integration that gives any LLM full access to your Zotero library, including search, organization, DOI-based paper addition, PDF import, full-text reading, and citation injection into Word documents.
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 passage-level semantic search over a Zotero library by extracting, chunking, and embedding PDF text using Gemini and ChromaDB. It provides MCP tools to perform topical searches and retrieve specific document passages with surrounding context.
This server allows users to interact with their Zotero library through the Model Context Protocol, providing tools for searching items, retrieving metadata, and accessing full text using natural language queries.
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 semantic search and management of Zotero reference libraries using PostgreSQL with pg-vector and OpenAI/Ollama embeddings. Provides AI-powered search, full-text extraction, metadata access, annotations, notes, tags, and collections management.
MCP server that exposes 45 tools for Zotero reference management, enabling AI agents to read/write items, search, extract PDF text, and manage workspaces via the Zotero CLI.
A Windows-based MCP server that enables the insertion of native Zotero citations and bibliographies into Microsoft Word desktop documents. It ensures references remain fully compatible with the official Zotero plugin for dynamic refreshing and ongoing manual maintenance.