Use DVC with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage ML experiments via DVC. track projects and views, audit experiments history, and monitor model runs directly from any AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 6 capabilities
The complete DVC capability set.
These are the exact actions your AI can choose when you ask it to work with DVC.
01-03
3 capabilities in this set.
Part of 6 available through DVC.
- 01
Get project
Get project
- 02
List experiments
List experiments
- 03
List views
List views
04-06
3 capabilities in this set.
Part of 6 available through DVC.
- 04
Get view
Get view
- 05
List projects
List projects
- 06
Get user
Get user profile
Observed, not estimated
828ms average. Fast in production.
DVC is checked daily against the live service.
- Fastest day
- 670ms
- Slowest day
- 1011ms
- 14-day trend
- Slowing+18%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of DVC, so you can see the experience inside your AI.
It does not authenticate your account with DVC. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
DVC Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Myft115Qe8hEZoVFuhiTYRKEW5euUlsOR2XqjK69/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — DVC capabilities are ready to use.
{
"mcpServers": {
"dvc-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Myft115Qe8hEZoVFuhiTYRKEW5euUlsOR2XqjK69/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions DVC owners ask.
- 01
Can my agent list all experiments for a specific DVC project?
Yes. Use the 'list_experiments' capability. Provide the project ID, and the agent will iterate through the model runs, returning a detailed history of metrics and execution logs for that project.
- 02
How do I see my custom dashboard views via chat?
Use the 'list_views' capability to see all your dashboard layouts. You can then use 'get_view' with a specific ID to retrieve the structural configuration and settings for that exact UI representation.
- 03
Can I audit my DVC Studio project settings through the agent?
Absolutely. The 'list_projects' and 'get_project' capabilities allow your agent to analyze identifier boundaries and repository metadata, helping you verify project connections and team mappings natively.
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