Zenodo MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 14 tools to Create Deposition, Delete Deposition, Delete Deposition File, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Zenodo 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 Zenodo MCP Server for Vercel AI SDK is a standout in the Knowledge Management category — giving your AI agent 14 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 Zenodo, 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 Zenodo MCP Server
Connect your Zenodo account to any AI agent to streamline your scientific research workflows and data management through natural conversation.
The Vercel AI SDK gives every Zenodo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 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
- Deposition Management — Create new unpublished depositions, update metadata, and manage your research drafts directly from the AI.
- Record Discovery — Search and list public records across the entire Zenodo database to find relevant research, software, or datasets.
- File Inspection — List all files attached to specific depositions to understand the contents of a research package.
- Metadata Control — Precisely update titles, creators, descriptions, licenses, and access rights for your unpublished work.
- Version Tracking — Retrieve specific deposition details using unique IDs to monitor the status of your submissions.
The Zenodo MCP Server exposes 14 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 14 Zenodo tools available for Vercel AI SDK
When Vercel AI SDK connects to Zenodo through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-access, research-data, metadata-management, 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 deposition on Zenodo
You can optionally provide metadata. Create a new Zenodo deposition
Delete deposition on Zenodo
Note: Only unpublished depositions can be deleted. Delete an unpublished Zenodo deposition
Delete deposition file on Zenodo
Delete a file from a Zenodo deposition
Discard deposition on Zenodo
Discard edits on a Zenodo deposition
Edit deposition on Zenodo
Edit a published Zenodo deposition
Get deposition on Zenodo
Retrieve a Zenodo deposition by ID
Get record on Zenodo
Retrieve a published Zenodo record by ID
List deposition files on Zenodo
List files in a Zenodo deposition
List depositions on Zenodo
List Zenodo depositions
List records on Zenodo
Search published Zenodo records
New version deposition on Zenodo
Create a new version of a Zenodo deposition
Publish deposition on Zenodo
WARNING: Once published, a deposition cannot be deleted. Publish a Zenodo deposition
Update deposition on Zenodo
Update a Zenodo deposition
Upload deposition file on Zenodo
Upload a text file to a Zenodo deposition
Connect Zenodo to Vercel AI SDK via MCP
Follow these steps to wire Zenodo 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 Zenodo MCP Server
Vercel AI SDK provides unique advantages when paired with Zenodo 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 Zenodo integration everywhere
Built-in streaming UI primitives let you display Zenodo 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
Zenodo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Zenodo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Zenodo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Zenodo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Zenodo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Zenodo through natural language queries
Example Prompts for Zenodo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Zenodo immediately.
"Search for public Zenodo records related to 'machine learning in healthcare'."
"Create a new Zenodo deposition for a dataset titled 'Global Temperature Trends 2023'."
"List all files currently attached to my deposition with ID 987654."
Troubleshooting Zenodo MCP Server with Vercel AI SDK
Common issues when connecting Zenodo to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpZenodo + Vercel AI SDK FAQ
Common questions about integrating Zenodo 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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