Zenodo MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 14 tools to Create Deposition, Delete Deposition, Delete Deposition File, and more

Name: Zenodo
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Zenodo MCP Server for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 14 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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+ other MCP clients

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="Zenodo Assistant",
            instructions=(
                "You help users interact with Zenodo. "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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EU AI ActCompliant

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Ed25519Audit chain

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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 Zenodo MCP Server

Connect your Zenodo account to any AI agent to streamline your scientific research workflows and data management through natural conversation.

The OpenAI Agents SDK auto-discovers all 14 tools from Zenodo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zenodo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 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 14 Zenodo tools available for OpenAI Agents SDK

When OpenAI Agents 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

Create deposition on Zenodo

You can optionally provide metadata. Create a new Zenodo deposition

delete

Delete deposition on Zenodo

Note: Only unpublished depositions can be deleted. Delete an unpublished Zenodo deposition

delete

Delete deposition file on Zenodo

Delete a file from a Zenodo deposition

discard

Discard deposition on Zenodo

Discard edits on a Zenodo deposition

edit

Edit deposition on Zenodo

Edit a published Zenodo deposition

get

Get deposition on Zenodo

Retrieve a Zenodo deposition by ID

get

Get record on Zenodo

Retrieve a published Zenodo record by ID

list

List deposition files on Zenodo

List files in a Zenodo deposition

list

List depositions on Zenodo

List Zenodo depositions

list

List records on Zenodo

Search published Zenodo records

new

New version deposition on Zenodo

Create a new version of a Zenodo deposition

publish

Publish deposition on Zenodo

WARNING: Once published, a deposition cannot be deleted. Publish a Zenodo deposition

update

Update deposition on Zenodo

Update a Zenodo deposition

upload

Upload deposition file on Zenodo

Upload a text file to a Zenodo deposition

Connect Zenodo to OpenAI Agents SDK via MCP

Follow these steps to wire Zenodo 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 14 tools from Zenodo

Why Use OpenAI Agents SDK with the Zenodo MCP Server

OpenAI Agents SDK provides unique advantages when paired with Zenodo 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

Zenodo + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Zenodo in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Zenodo 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.

Zenodo + OpenAI Agents SDK FAQ

Common questions about integrating Zenodo 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.