How to Use the Zenodo MCP in Mastra AI

Q: How can I find a specific Zenodo record using Mastra AI?

Use getrecord and pass in the required ID. This provides the complete data object needed for subsequent workflow steps, like sending it to an analyst agent.

Q: Can my workflow handle multiple versions of Zenodo content with Mastra AI?

Yes. The newversiondeposition tool lets your workflow automatically version the data. This is crucial for audit trails, letting you track exactly how the dataset changed over time.

Q: What happens if I need to cancel an edit with Zenodo and Mastra AI?

You can use discarddeposition. If a user makes changes but realizes they went down a rabbit hole, this tool reverts the deposition state safely.

Q: Is there a way to list all available depositions with Zenodo and Mastra AI?

Use listdepositions. This retrieves the IDs for every deposition you have access to, giving your workflow a full inventory before starting any operation.

Build resilient workflows with Mastra AI and Zenodo data management.

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Connect Zenodo MCP to Mastra AI

Create your Vinkius account to connect Zenodo to Mastra AI 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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Control Deposition States in mastra-ai

Your workflow needs to handle drafts? Use `discard_deposition` if the user decides they don't want an edit. Or, you can call `edit_deposition` to make changes to an already published deposition, assuming your process allows it. For controlled state transitions, `new_version_deposition` is key. This lets Mastra AI create a new version so that the workflow never accidentally loses prior work or gets stuck in a half-finished state.

Build Resilient Data Retrieval with MCP Server

When your multi-step process needs data, you use `get_record` to fetch published content by ID. This is reliable for any step that requires confirmed information. If you need a list of all possible items before picking one, call `list_records`. You can feed this output into the next step of your workflow engine to filter and select the right record.

Execute Controlled Publishing with mastra-ai

Publishing is a critical state change. Use `publish_deposition` when all checks pass in your complex workflow. Remember, once it's published, you can't delete it. If an update is needed after publishing, call `update_deposition`. This lets the agent make sure the latest data gets into the record without having to re-run the entire deposition creation process.

Setup guide

Set up Zenodo MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Zenodo tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "zenodo-mcp-client",
  servers: {
    "zenodo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Zenodo Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Zenodo tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Zenodo transactions"
);
console.log(result.text);

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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 Mastra AI

Use `get_record` and pass in the required ID. This provides the complete data object needed for subsequent workflow steps, like sending it to an analyst agent.

Yes. The `new_version_deposition` tool lets your workflow automatically version the data. This is crucial for audit trails, letting you track exactly how the dataset changed over time.

You can use `discard_deposition`. If a user makes changes but realizes they went down a rabbit hole, this tool reverts the deposition state safely.

The server manages Deposition Metadata, uploaded Files, and Records. Your workflow can read or write these three distinct types of information.

Use `list_depositions`. This retrieves the IDs for every deposition you have access to, giving your workflow a full inventory before starting any operation.

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