DVC MCP Server
Manage ML experiments via DVC — track projects and views, audit experiments history, and monitor model runs directly from any AI agent.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the DVC MCP Server?
The DVC MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to DVC via 6 tools. Manage ML experiments via DVC — track projects and views, audit experiments history, and monitor model runs directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (6)
Tools for your AI Agents to operate DVC
Ask your AI agent "List all projects in my DVC Studio account" and get the answer without opening a single dashboard. With 6 tools connected to real DVC data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
DVC MCP Server capabilities
6 toolsGet project
Get user profile
Get view
List experiments
List projects
List views
What the DVC MCP Server unlocks
Connect your DVC Studio account to any AI agent and take full control of your machine learning experiments and data versioning workflows through natural conversation.
What you can do
- Project Orchestration — Expose registered organization workspaces and validate available physical repositories connected within DVC Studio limits
- Experiment Navigation — Iterate through explicitly generated model runs mapping precise metric arrays and discovering logged metrics history cleanly
- View Management — Extract explicit UI configuration layouts and dashboard settings to retrieve structural workspace representations natively
- Repository Auditing — Analyze specific identifier boundaries resolving internal team mappings and parsing direct repository metadata constraints
- Metric Inspection — Retrieve complex structural arrays defining precisely which metrics were captured during specific experiment epochs
- Identity Oversight — Identify the exact authorized token holder exposing mapping roles and organization scopes dynamically to verify permissions
How it works
1. Subscribe to this server
2. Enter your DVC Studio Client Access Token (found in DVC Studio Profile Settings > Tokens)
3. Start managing your ML experiments from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Scientists — monitor model experiments and track metrics without leaving the development environment
- ML Engineers — verify project repository connections and audit model run histories using natural language
- Team Leads — monitor organization workspaces and experiment progress through natural conversation
- DevOps Engineers — test and debug DVC Studio integrations and verify access token permissions in real-time
Frequently asked questions about the DVC MCP Server
Can my agent list all experiments for a specific DVC project?
Yes. Use the 'list_experiments' tool. 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.
How do I see my custom dashboard views via chat?
Use the 'list_views' tool 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.
Can I audit my DVC Studio project settings through the agent?
Absolutely. The 'list_projects' and 'get_project' tools allow your agent to analyze identifier boundaries and repository metadata, helping you verify project connections and team mappings natively.
More in this category
Equixly
10 toolsAutomate API security testing via Equixly — manage target services, trigger autonomous AI pentests, and audit vulnerability findings directly from any AI agent.
SonarCloud
9 toolsMerge your SaaS DevOps workflow with SonarCloud to review AI code and prevent production vulnerabilities.
AppGallery Connect
11 toolsManage your AppGallery Connect apps via AI — check stats, submit builds for review, monitor ratings, and reply to user comments.
You might also like
GivingFuel
10 toolsRetrieve donation orders, track registrants, and oversee fundraising pages via AI agents with GivingFuel.
Bexio
10 toolsManage your business via Bexio — list contacts, invoices, and projects directly from any AI agent.
eCompliance
10 toolsEquip your AI agent to manage safety incidents, track inspections, and monitor action items via the eCompliance API.
Connect DVC with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of DVC MCP Server
Production-grade DVC MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.