Zotero MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 23 tools to Create Items, Delete Item, Delete Items, and more

Name: Zotero
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zotero through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Zotero MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 23 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Zotero Assistant",
            instructions=(
                "You help users interact with Zotero. "
                "You have access to 23 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Zotero"
        )
        print(result.final_output)

asyncio.run(main())

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About Zotero MCP Server

Connect your Zotero library to any AI agent and take full control of your research workflow through natural conversation.

The OpenAI Agents SDK auto-discovers all 23 tools from Zotero through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zotero, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Collections & Organization — List top-level collections, subcollections, and specific collection details to navigate your library structure.
Item Management — Query all items, including notes and attachments, with support for advanced filtering by type, tag, or keyword.
Metadata Inspection — Fetch complete bibliographic data, creator information, and publication details for any specific item.
Tags & Publications — Access your personal publications and manage tags to categorize your research effectively.
Group Libraries — Seamlessly switch between your personal library and shared group libraries using specific IDs.

The Zotero MCP Server exposes 23 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 23 Zotero tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Zotero through Vinkius, your AI agent gets direct access to every tool listed below — spanning reference-management, citation-tools, academic-research, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create items on Zotero

Use get_new_item_template first to get the correct schema. Create new items in the Zotero library

delete

Delete item on Zotero

Delete a single item

delete

Delete items on Zotero

Delete multiple items (up to 50)

get

Get collection on Zotero

Get a specific collection by key

get

Get deleted on Zotero

Get deleted objects since a specific library version

get

Get item on Zotero

Get a specific item by key

get

Get item type fields on Zotero

List valid fields for a specific item type

get

Get new item template on Zotero

Get a JSON template for creating a new item of a specific type

get

Get tag on Zotero

Get tags matching a specific name

list

List collection items on Zotero

List items in a specific collection

list

List collections on Zotero

List all collections in the Zotero library

list

List item children on Zotero

List child items (notes, attachments) for a specific item

list

List item fields on Zotero

List all available Zotero item fields

list

List item tags on Zotero

List tags for a specific item

list

List item types on Zotero

List all available Zotero item types

list

List items on Zotero

List items in the Zotero library

list

List publications on Zotero

List items in My Publications

list

List subcollections on Zotero

List subcollections of a specific collection

list

List tags on Zotero

List all tags in the library

list

List top collections on Zotero

List top-level collections in the Zotero library

list

List top items on Zotero

List top-level items in the Zotero library

list

List trash items on Zotero

List items in the trash

update

Update item on Zotero

Update an existing item (Partial Update / PATCH)

Connect Zotero to OpenAI Agents SDK via MCP

Follow these steps to wire Zotero into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 23 tools from Zotero

Why Use OpenAI Agents SDK with the Zotero MCP Server

OpenAI Agents SDK provides unique advantages when paired with Zotero through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Zotero + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Zotero MCP Server delivers measurable value.

Automated workflows: build agents that query Zotero, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Zotero, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Zotero tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Zotero to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Zotero in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zotero immediately.

"List all my top-level collections in Zotero."

"Search for items in my library with the tag 'artificial-intelligence'."

"Get the complete bibliographic details for item key ABCD1234."

Troubleshooting Zotero MCP Server with OpenAI Agents SDK

Common issues when connecting Zotero to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Zotero + OpenAI Agents SDK FAQ

Common questions about integrating Zotero MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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