
Connect DVC to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Control your machine learning workflows through natural conversation.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 6 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 6 available through DVC.
- 01
Get project
Retrieves specific project details from your DVC Studio account.
- 02
List experiments
Fetches a list of all recorded model runs for a given project.
- 03
List views
Returns all available dashboard views and layouts in your workspace.
04-06
3 capabilities in this set.
Part of 6 available through DVC.
- 04
Get view
Provides the specific configuration and settings for a single dashboard view.
- 05
List projects
Shows all projects currently registered within your DVC Studio organization.
- 06
Get user
Accesses your user profile and permission details.
Real work
What teams actually run
Metric Comparison
Ask your agent to compare the accuracy of the last three model runs to find the best performing version.
Workspace Auditing
Check which physical repositories are connected to your organization's workspaces.
Dashboard Setup
Retrieve the specific settings for a custom dashboard view to understand how metrics are being visualized.
Access Control
Verify the permissions and scopes of a specific access token within your organization.
Automate a task
Put DVC to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
DVC works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put DVC to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
878ms average. Fast in production.
DVC is checked daily against the live service.
- Fastest day
- 734ms
- Slowest day
- 1101ms
- 14-day trend
- Slowing+7%
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
Guided setup for Claude? Set up DVC in Claude and other AIs
Who it's for
Built for the work DVC owners hand off.
This MCP is designed for technical teams working with versioned data and machine learning models.
- 01
Data Scientists
They use the agent to monitor model experiments and track metrics without leaving their IDE.
- 02
ML Engineers
They use the agent to verify repository connections and audit model run histories.
- 03
Team Leads
They use the agent to monitor organization workspaces and experiment progress.
- 04
DevOps Engineers
They use the agent to test DVC Studio integrations and verify access token permissions.
FAQ
Questions DVC owners ask.
- 01
How do I connect this MCP to my AI client?
You subscribe to the MCP via Vinkius and then connect your preferred client like Claude or Cursor. You will need your DVC Studio Client Access Token to complete the link.
- 02
Where do I find my DVC Studio token?
You can find your token in your DVC Studio account under Profile Settings in the Tokens section.
- 03
Which AI clients can I use with this MCP?
This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 04
Can I see my dashboard layouts through the AI?
Yes, the MCP includes capabilities to list and retrieve the specific configuration and settings for your DVC Studio dashboard views.
- 05
Does this MCP handle my data versioning?
It allows your AI to interact with your existing DVC Studio workflows, including project management, experiment tracking, and repository auditing.
- 06
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.
- 07
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.
- 08
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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Connect DVC to Claude, Cursor, ChatGPT & more
