Bring Open Access
to CrewAI
Learn how to connect Zenodo to CrewAI 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- Deposition Management — Create new unpublished depositions, update metadata, and manage your research drafts directly from the AI.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- Metadata Control — Precisely update titles, creators, descriptions, licenses, and access rights for your unpublished work.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Note: Only unpublished depositions can be deleted. Delete an unpublished Zenodo deposition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 CrewAI?
When paired with CrewAI, Zenodo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Zenodo tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Zenodo in CrewAI
Zenodo and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Zenodo to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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