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.

DVC MCP Server for Google ADK 6 tools — connect in under 2 minutes

Name: DVC
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add DVC as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="dvc_agent",
    instruction=(
        "You help users interact with DVC "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About DVC MCP Server

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.

Google ADK natively supports DVC as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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

The DVC MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DVC to Google ADK via MCP

Follow these steps to integrate the DVC MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 6 tools from DVC via MCP

Why Use Google ADK with the DVC MCP Server

Google ADK provides unique advantages when paired with DVC through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with DVC

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine DVC tools with BigQuery, Vertex AI, and Cloud Functions

DVC + Google ADK Use Cases

Practical scenarios where Google ADK combined with the DVC MCP Server delivers measurable value.

Enterprise data agents: ADK agents query DVC and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine DVC tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query DVC regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including DVC

DVC MCP Tools for Google ADK (6)

These 6 tools become available when you connect DVC to Google ADK via MCP:

get_project

Get project

get_user

Get user profile

get_view

Get view

list_experiments

List experiments

list_projects

List projects

list_views

List views

Example Prompts for DVC in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with DVC immediately.

"List all projects in my DVC Studio account"

"Show me the last 5 experiments for project 'Credit-Scoring-Model'"

"What are my dashboard views in DVC?"

Troubleshooting DVC MCP Server with Google ADK

Common issues when connecting DVC to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

DVC + Google ADK FAQ

Common questions about integrating DVC MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.