Zotero MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 23 tools to Create Items, Delete Item, Delete Items, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Zotero through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Zotero MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 23 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Zotero, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Zotero tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 23 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK
When Vercel AI 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 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)
Connect Zotero to Vercel AI SDK via MCP
Follow these steps to wire Zotero into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Zotero MCP Server
Vercel AI SDK provides unique advantages when paired with Zotero through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Zotero integration everywhere
Built-in streaming UI primitives let you display Zotero tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Zotero + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Zotero MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Zotero in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Zotero tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Zotero capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Zotero through natural language queries
Example Prompts for Zotero in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Zotero to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpZotero + Vercel AI SDK FAQ
Common questions about integrating Zotero MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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