Seerai, developed by Dralkh, is a free AI research assistant plugin designed for Zotero 9 on the mcp platform. Built primarily with JavaScript/TypeScript, it extends Zotero's capabilities by integrating external Large Language Models. This tool helps researchers and academics manage literature, enabling advanced AI-driven analysis and systematic review processes. Its distribution via a .xpi file from GitHub Releases ensures straightforward installation for Zotero users seeking enhanced research support.

What does Seerai connect to?

Seerai functions as an AI research assistant plugin for Zotero 9, forming a bridge between the Zotero library and external Large Language Models (LLMs). Its core component is an MCP server that enables these LLMs to interact directly with a user's Zotero collection. This connection allows for advanced AI-driven operations on research materials managed within Zotero, facilitating deeper analysis and knowledge extraction from academic literature.

Core features and tools

The plugin exposes several capabilities, which the MCP server's tool definitions work with. These include a consolidated context tool for unified add, remove, and list actions, and an improved collection tool for finding, creating, listing, and moving items within Zotero. It also offers a RAG (Retrieval-Augmented Generation) tool for programmatic document retrieval and analysis. Additionally, Seerai features an agent skills framework with scientific and ML assistant skill definitions.

Who is it for?

Seerai is intended for researchers and academics who depend on Zotero for managing their literature and require AI assistance in their workflows. It supports users in automating aspects of literature review, performing multi-paper comparisons, and extracting structured data. The tool is also useful for systematic review management and agent-driven research tasks. Skip this if you do not use Zotero 9 for your literature management.

How to get started

No credentials are required. The compatible AI client is Claude Desktop, suggesting support for HTTP transport.

Use cases

• AI-assisted literature review and analysis, including contextual conversations with papers, multi-paper comparative analysis, and structured data extraction.
• Systematic review management, supporting PRISMA-style reviews and a dedicated workspace with federated scholarly search.
• Agent-driven research tasks, utilizing an agent skills framework for scientific/ML assistant skill definitions and programmatic document retrieval.

Seerai by Dralkh is a free MCP server tool that enhances Zotero 9 with AI research assistant capabilities. It provides advanced tools for literature analysis, systematic reviews, and agent-driven tasks, catering specifically to academics. Its integration with external LLMs transforms how researchers interact with their library.