Bring Open Access
to OpenAI Agents SDK
Learn how to connect Zenodo to OpenAI Agents SDK and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Zenodo MCP Server?
Connect your Zenodo account to any AI agent to streamline your scientific research workflows and data management through natural conversation.
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- Deposition Management — Create new unpublished depositions, update metadata, and manage your research drafts directly from the AI.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- Metadata Control — Precisely update titles, creators, descriptions, licenses, and access rights for your unpublished work.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.
How it works
- Subscribe to this server
- Enter your Zenodo Personal Access Token
- Start managing your research data from Claude, Cursor, or any MCP-compatible client
No more manual navigation through complex forms to update a dataset description or find a specific research record. Your AI acts as a dedicated research assistant.
Who is this for?
- Researchers & Academics — quickly draft depositions and manage metadata for publications without leaving your writing environment.
- Data Scientists — automate the listing and retrieval of datasets for analysis directly from your code editor.
- Open Science Advocates — easily search and discover public research artifacts to foster collaboration and transparency.
Built-in capabilities (14)
You can optionally provide metadata. Create a new Zenodo deposition
Note: Only unpublished depositions can be deleted. Delete an unpublished Zenodo deposition
Delete a file from a Zenodo deposition
Discard edits on a Zenodo deposition
Edit a published Zenodo deposition
Retrieve a Zenodo deposition by ID
Retrieve a published Zenodo record by ID
List files in a Zenodo deposition
List Zenodo depositions
Search published Zenodo records
Create a new version of a Zenodo deposition
WARNING: Once published, a deposition cannot be deleted. Publish a Zenodo deposition
Update a Zenodo deposition
Upload a text file to a Zenodo deposition
Why OpenAI Agents SDK?
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.
- —
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 in OpenAI Agents SDK
Zenodo and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Zenodo to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Zenodo in OpenAI Agents SDK
The Zenodo 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. All 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Zenodo for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Zenodo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I delete a deposition that has already been published?
No. The delete_deposition tool only works for unpublished depositions. Once a record is published on Zenodo, it is permanent to ensure scientific traceability.
How can I search for public datasets about a specific topic?
You can use the list_records tool with a search query. For example, ask the agent to 'Search Zenodo records for climate change' and it will return matching public entries.
Is it possible to see which files are included in a deposition before downloading them?
Yes! Use the list_deposition_files tool with the Deposition ID. The agent will provide a list of all filenames and metadata associated with that specific deposition.
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.
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.
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