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Zotero MCP Server for Mastra AIGive Mastra AI instant access to 23 tools to Create Items, Delete Item, Delete Items, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Zotero through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Zotero MCP Server for Mastra AI 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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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "zotero": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Zotero Agent",
    instructions:
      "You help users interact with Zotero " +
      "using 23 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Zotero?"
  );
  console.log(result.text);
}

main();
Zotero
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Zotero MCP Server

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

Mastra's agent abstraction provides a clean separation between LLM logic and Zotero tool infrastructure. Connect 23 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 23 tools from Zotero via MCP

Why Use Mastra AI with the Zotero MCP Server

Mastra AI provides unique advantages when paired with Zotero through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Zotero without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Zotero tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Zotero + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Zotero MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Zotero, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Zotero as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Zotero on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Zotero tools alongside other MCP servers

Example Prompts for Zotero in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Zotero immediately.

01

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

02

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

03

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

Troubleshooting Zotero MCP Server with Mastra AI

Common issues when connecting Zotero to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Zotero + Mastra AI FAQ

Common questions about integrating Zotero MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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