How to Use the Tolstoy MCP in Google ADK
Run shoppable video funnels with Google ADK. Build enterprise e-commerce experiences that act on data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Tolstoy MCP to Google ADK
Create your Vinkius account to connect Tolstoy to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Monitor Video Performance Metrics
Need to check how well content is performing? Use `get_video_analytics` within your Google ADK agent. This tool gives you the hard performance numbers, so you know where shoppers are dropping off. The resulting data feeds directly into your enterprise workflow. You can use these metrics to adjust funnels automatically.
Discover Interactive Video Projects
Start by calling `list_interactive_projects` to see every available project structure. This gives the agent a full overview of all shoppable experiences you've built. After listing them, your agent can use that data to decide which funnels need immediate attention.
List and Upload Videos
To get an inventory, the agent calls `list_videos`. This is how it knows what content exists in Tolstoy. If the agent needs more material, it uses `upload_video` to add new videos. These tools work together: list first, then upload later, all within your Google Cloud environment.
Set up Tolstoy MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Tolstoy tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Tolstoy_agent",
model="gemini-2.0-flash",
instruction="You have access to Tolstoy tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tolstoy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Tolstoy MCP in Google ADK
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