How to Use the DVC MCP in Claude Code

Q: How do I add the DVC MCP Server to Claude Code?

Use the claude mcp add command in your terminal. Pass the server URL and transport flags to link it to your session.

Q: How do I verify the DVC connection in Claude Code?

Run claude mcp list after connecting. It confirms the server is active and shows you the tools available for use.

Use the DVC MCP Server with Claude Code to automate ML experiment tracking from your terminal.

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Connect DVC MCP to Claude Code

Create your Vinkius account to connect DVC 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 DVC with Claude Code

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List projects from the terminal

Claude Code works best with direct commands. Use `list_projects` to view your workspace and `get_project` to fetch specific state data for your CI/CD scripts. This replaces manual checks. Your terminal now acts as a command center for your entire ML project structure.

Audit runs with Claude Code

Need a quick status report? Use `list_experiments` to see recent runs and `get_user` to verify who ran them. This is ideal for automated reporting. You can pipe these outputs into your own custom scripts or monitoring tools.

Inspect data views

Verify your data state before you deploy. Use `list_views` to get a list of snapshots and `get_view` to pull the exact configuration. Claude Code uses these tools to ensure your build environment matches the expected experiment state. It keeps your pipeline predictable.

Setup guide

Set up DVC 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 dvc-mcp with a green status indicator.
3

Start using tools

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

Terminal

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

Get your connection token →

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 DVC 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": {
    "dvc-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about DVC MCP in Claude Code

Use the `claude mcp add` command in your terminal. Pass the server URL and transport flags to link it to your session.

Yes. The server is designed for headless use. You can script calls to list experiments and capture the output for CI/CD.

It does through the MCP server. You can query your projects and views directly from the command line interface.

Run `claude mcp list` after connecting. It confirms the server is active and shows you the tools available for use.

The server operates only on your machine. It accesses your local experiment logs and metadata without ever sending them to an external cloud.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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