How to Use the DataCite REST MCP in Claude Code

Q: What's the command to get DOIs with DataCite REST and Claude Code and then filter them?

You can pipe the commands together. For example: claude mcp tool datacite-rest-mcp listdois jq '.data select(.attributes.publicationYear==2023)'. This gets all DOIs from DataCite REST via Claude Code and filters them with jq.

Pipe DataCite DOI metadata into your shell scripts and CI/CD pipelines with Claude Code.

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Connect DataCite REST MCP to Claude Code

Create your Vinkius account to connect DataCite REST to Claude Code 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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Setup DataCite REST with Claude Code

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Manage DOIs from the Command Line

This MCP Server puts the DataCite API in your terminal. You can create, update, and delete draft DOIs using `create_doi`, `update_doi`, and `delete_doi` directly from a shell script. It requires your Member API credentials, of course. It’s built for automation. Run a script that finds all draft DOIs with `list_dois` and then pipes them to another command to process them. No manual steps needed.

Monitor API Health in CI/CD with this MCP Server

Use this MCP Server in your monitoring scripts. The `get_heartbeat` tool is a simple way to check if the DataCite API is responsive before a deployment or data job. Just run `claude mcp tool datacite-rest-mcp get_heartbeat` in a cron job or a GitHub Action. If the command fails, you can trigger an alert. It’s a reliable, low-effort health check for your data infrastructure dependencies.

Pipe DataCite Output to Other Tools

The real power of Claude Code is piping. Get a list of DOIs with `list_dois` and pipe the JSON output directly to `jq` for filtering. Or feed the result to another script that needs to process the data. For example, you can pull all citation events with `list_events` and pipe the result to a script that loads them into a local database. Because it's all in the terminal, you can build complex data pipelines that run headlessly on a server.

Setup guide

Set up DataCite REST MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see datacite-rest-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest DataCite REST transactions." It will automatically discover and invoke the available DataCite REST tools.

Terminal

claude mcp add --transport http datacite-rest-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the DataCite REST MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "datacite-rest-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DataCite. 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 DataCite REST MCP in Claude Code

First, add your DataCite REST Member credentials when you configure the server. Then, in a script, you can call `claude mcp tool datacite-rest-mcp create_doi --payload @metadata.json`. It's designed for headless automation.

Yes, it's straightforward. Add a step to your CI pipeline that runs `claude mcp tool datacite-rest-mcp get_heartbeat`. You can check the exit code of that command to pass or fail the build if the DataCite REST API is down.

You can pipe the commands together. For example: `claude mcp tool datacite-rest-mcp list_dois | jq '.data[] | select(.attributes.publicationYear==2023)'`. This gets all DOIs from DataCite REST via Claude Code and filters them with `jq`.

You configure them once when you add the MCP Server to Claude Code using the `--header` flag. The client securely stores and sends the credentials with each request to tools that require authentication.

Vinkius isolates each API call in a zero-trust, ephemeral sandbox. Your DataCite REST Member API credentials are encrypted and only used for the specific API call. They are not logged or stored after the request is complete.

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