Compatible with every major AI agent and IDE
Create items on Zotero
Use get_new_item_template first to get the correct schema. Create new items in the Zotero library
Delete item on Zotero
Delete a single item
Delete items on Zotero
Delete multiple items (up to 50)
Get collection on Zotero
Get a specific collection by key
Get deleted on Zotero
Get deleted objects since a specific library version
Get item on Zotero
Get a specific item by key
Get item type fields on Zotero
List valid fields for a specific item type
Get new item template on Zotero
Get a JSON template for creating a new item of a specific type
Get tag on Zotero
Get tags matching a specific name
List collection items on Zotero
List items in a specific collection
List collections on Zotero
List all collections in the Zotero library
List item children on Zotero
List child items (notes, attachments) for a specific item
List item fields on Zotero
List all available Zotero item fields
List item tags on Zotero
List tags for a specific item
List item types on Zotero
List all available Zotero item types
List items on Zotero
List items in the Zotero library
List publications on Zotero
List items in My Publications
List subcollections on Zotero
List subcollections of a specific collection
List tags on Zotero
List all tags in the library
List top collections on Zotero
List top-level collections in the Zotero library
List top items on Zotero
List top-level items in the Zotero library
List trash items on Zotero
List items in the trash
Update item on Zotero
Update an existing item (Partial Update / PATCH)
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does this support shared group libraries or only my personal library?
It supports both! Most tools, like list_collections or list_items, accept an optional group_id. If provided, the agent will query that specific group library instead of your personal one.
Triggering Zotero via Natural Language
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Zotero MCP server to manage operations across the following domains.
reference management & AI Execution
Integrate Zotero for AI-driven reference management management. The MCP server structures the outputs required for Claude to analyze productivity data.
Autonomous citation tools via AI
The Zotero toolkit provides secure access to citation tools functions. It enables conversational agents to manage productivity settings deterministically.
Zotero. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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