Zenodo MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Zenodo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Zenodo MCP Server for Pydantic AI 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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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Zenodo "
            "(14 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Zenodo?"
    )
    print(result.data)

asyncio.run(main())

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About Zenodo MCP Server

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

Pydantic AI validates every Zenodo tool response against typed schemas, catching data inconsistencies at build time. Connect 14 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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Deposition Management — Create new unpublished depositions, update metadata, and manage your research drafts directly from the AI.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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

Follow these steps to wire Zenodo into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 14 tools from Zenodo with type-safe schemas

Why Use Pydantic AI with the Zenodo MCP Server

Pydantic AI provides unique advantages when paired with Zenodo through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Zenodo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Zenodo connection logic from agent behavior for testable, maintainable code

Zenodo + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Zenodo MCP Server delivers measurable value.

Type-safe data pipelines: query Zenodo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Zenodo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Zenodo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Zenodo responses and write comprehensive agent tests

Example Prompts for Zenodo in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Zenodo to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Zenodo + Pydantic AI FAQ

Common questions about integrating Zenodo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Zenodo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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