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How to Use the Zenodo MCP in Google ADK

Build enterprise agents that manage Zenodo research with the Google ADK.

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Google ADK

Connect Zenodo MCP to Google ADK

Create your Vinkius account to connect Zenodo to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Systematically Manage Scientific Data Lifecycles

Your agent uses `create_deposition` to generate a new record on Zenodo, which is the first step in managing research data. Once the initial files are uploaded via `upload_deposition_file`, you can call `edit_deposition` to refine the accompanying metadata. If the project changes significantly, don't worry. You simply use `new_version_deposition` to create a version bump that preserves all previous work.

Search and Retrieve Zenodo Records Using Google ADK

Need to find existing data? Your agent can search across published works using `list_records`. For deep dives, calling `get_record` retrieves a complete, ready-to-use dataset by ID. You can also list all your deposited projects with `list_depositions`, giving you an immediate inventory of everything the organization has stored.

Control Zenodo Content and Visibility

When a deposition is ready for viewing, use `publish_deposition` to make it live. Be careful: once published, that content can't be removed. If you need to undo changes on a draft, the `discard_deposition` tool handles it. For maintenance, you can update existing records with `update_deposition`, or get granular details about the files in a specific project using `list_deposition_files`.

Setup guide

Set up Zenodo MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Zenodo tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Zenodo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zenodo tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zenodo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Zenodo MCP in Google ADK

Use the `list_depositions` tool. This function provides a list of all your existing deposition IDs, letting you know exactly what data has been stored on Zenodo.
You can create new work with `create_deposition`, update it using `update_deposition`, and eventually publish it via `publish_deposition`. These actions control the entire lifecycle.
Calling `get_record` is how your agent retrieves all published details for a specific ID. This gives you immediate, verified access to the data.
Yes, provided the deposition hasn't been made public, your agent can delete it using `delete_deposition`. This is an important cleanup function for drafts.
This server manages structured scientific metadata and file identifiers. The core data being handled are deposition records, which contain both descriptive text and associated binary files.

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