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How to Use the Zenodo MCP in Cursor

Inject live Zenodo data into your code editor using Cursor.

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Works with every AI agent you already use

…and any MCP-compatible client

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Cursor

Connect Zenodo MCP to Cursor

Create your Vinkius account to connect Zenodo to Cursor 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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Manage Deposition Workflows

The `create_deposition` tool lets the AI generate a new deposition context directly in your project. Need to adjust what's already there? Use `edit_deposition` or `update_deposition`. This keeps your data context accurate while you're coding. If you change your mind before committing, don't sweat it. You can use `discard_deposition` to wipe out unsaved edits, letting you start clean code blocks.

Retrieve Zenodo Records for Context

You get immediate context by using the `get_record` tool. When your agent calls this, it pulls live data into the snippet you're writing—not mock stubs. This is key for building applications that rely on real scientific data. Want to check what other records are available? Running `list_records` provides a list of IDs and titles, giving you everything you need to reference in your code.

Upload Files and Track Versions

Uploading source material is simple. Use `upload_deposition_file` to add text files directly into the deposition context. The system handles version control automatically via `new_version_deposition`. You just specify the change, and the code reflects it. Retrieving file lists with `list_deposition_files` helps you write functions that know exactly which assets are attached to a specific record.

Setup guide

Set up Zenodo MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Zenodo MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Zenodo transactions." If the MCP tools are loaded correctly, Cursor will call the Zenodo tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "zenodo-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Zenodo MCP in Cursor

The agent calls the necessary tool—like `get_record`—and injects the real API response directly into your current file, allowing you to write functional code immediately.
Yes. You initiate this by calling `create_deposition`. This sets up the necessary variables and context in your project scope so you can start building against it right away.
Use `publish_deposition` when you're ready. Since this is code-based, knowing that publishing locks the record down is critical for planning your release cycle.
Cursor supports project-scope integration, allowing the AI to interact with data defined within your repository structure, making it perfect for local development setups.
This MCP Server works with deposition IDs, record IDs, metadata, and text files. Your agent handles these identifiers and file contents to build your software logic.

Start using the Zenodo MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 14 tools

We've already built the connector for Zenodo. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 14 tools are live and waiting. You're up and running in seconds.

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