D

DVC

Query DVC pipelines and artifacts.

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About

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DVC is a Model Context Protocol server in the Data & Databases category. It lets AI assistants that speak MCP call its tools and read its resources over STDIO.

Example tools

Illustrative tool names — the actual tool set is defined by the server at runtime.

query
Run a read-only SQL query
list_tables
List tables in the connected database
describe_table
Return column info for a table

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Frequently Asked Questions

Common questions about DVC.

What is the DVC Model Context Protocol used for?
The DVC MCP allows you to query DVC pipelines and artifacts. This is useful for integrating DVC's data versioning and MLOps capabilities into other development environments.
How do I install the DVC MCP within a client like Cursor?
Installation in clients like Cursor typically involves configuring the MCP through a settings or extensions interface. You would specify 'dvc' as the MCP slug and 'stdio' for the transport protocol. No authentication details are required for this community-provided MCP.
Does the DVC MCP require any authentication or API keys?
No, the DVC MCP uses 'none' as its authentication type. It does not require API keys, OAuth, or other credentials to operate. This simplifies its integration and use.
What are the core capabilities of the DVC MCP?
The DVC MCP primarily enables querying of DVC pipelines and artifacts. This allows for programmatic access to DVC-managed data and models, supporting automation and integration with other tools in an MLOps workflow.
Is there a cost associated with using the DVC Model Context Protocol?
The DVC MCP itself is community-provided and does not have a direct cost. DVC is an open-source tool, so its usage and licensing depend on the terms of the underlying DVC project, which typically means it's free to use and open source.
What is a potential limitation when using the DVC MCP?
A key limitation is that direct manipulation or execution of DVC commands is not explicitly listed as a feature. The MCP is described as allowing 'querying' of pipelines and artifacts. Full DVC functionality might require direct DVC CLI access.

Install DVC

Claude Desktop

Add this to claude_desktop_config.json.

{
  "mcpServers": {
    "dvc": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dvc"
      ]
    }
  }
}

Cursor

Add this to ~/.cursor/mcp.json.

{
  "mcpServers": {
    "dvc": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dvc"
      ]
    }
  }
}

VS Code

Add this to your workspace settings.json.

{
  "mcp.servers": {
    "dvc": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dvc"
      ]
    }
  }
}

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