- INVENTORY
- DETAILS
- DISCREPANCIES
- HUMAN
Short answer
How can I check my DVC repository and workspace mappings?
Your AI pulls a full list of projects and then inspects the details of each one to ensure they match your organization's structure. You'll get a clear view of where your physical repositories sit within your project hierarchy.
Audit outcomes
What you'll find.
The AI identifies where your data structure is solid and where it's messy.
INVENTORY
Complete project list
The AI pulls every project in your DVC environment. You'll see exactly what exists in your system.
DETAILS
Project configurations
The AI retrieves specific metadata for individual projects. This shows how each one is actually set up.
DISCREPANCIES
Mapping mismatches
The AI flags where a repository doesn't match your intended workspace structure. You'll know exactly what's out of place.
HUMAN
Manual corrections
The AI identifies the gaps but doesn't change anything. You'll need to manually fix any misaligned repositories.
The workflow
What your AI does when the audit starts.
The AI handles the heavy lifting of data retrieval so you can spot structural issues.
Gather project list
The AI scans your DVC environment to find all available projects.
list_projectsFetch project metadata
The AI pulls the specific configuration for a project you've identified.
get_projectAnalyze mappings
The AI compares the project details against your workspace requirements.
get_projectIdentify gaps
The AI highlights projects that are missing or incorrectly mapped.
list_projects
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
Swap out the project names for the ones you actually use in your environment.
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"
}
}
}List all my DVC projects to show me the current structure.
Get the details for the 'training-data-v2' project and check its mapping.
Check if the 'production-models' project is correctly mapped to my workspace.
Show me all projects in my DVC environment that don't match the 'core-research' workspace.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect DVC once, then ask.
Connect your DVC account to your AI client. Your credentials stay encrypted on our side, and you can start asking questions immediately.
Connect DVC to your AIFAQ
How the audit behaves
- 01
Can the AI fix my project mappings?
No. The AI can only read project data. You have to make any structural changes yourself.
- 02
Can the AI delete a project if it's misconfigured?
No. This MCP does not have any tools for deleting or modifying projects.
- 03
How does the AI know which project to look at?
You tell the AI which project you want to inspect, and it uses that name to pull the right data.
- 04
Does the AI see my actual data files?
No. The AI only accesses project metadata and the list of available projects.
- 05
Can I use this with Cursor or Claude?
Yes. Any MCP-compatible client will work once you've connected the DVC MCP.
More questions about DVC? See everything the DVC Connector can do
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