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How to Use the Uscreen MCP in Google ADK

Build enterprise streaming backend logic using Google ADK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Uscreen MCP to Google ADK

Create your Vinkius account to connect Uscreen 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.

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Manage User Accounts

Pull up a user's profile with `get_customer` for verification. You can also list all users in the system by calling `list_customers`. This lets your enterprise agent validate membership status before allowing access to premium content. Agents use this data point when building multi-step processes, like onboarding a new subscriber or updating account details.

Handle Product Catalogs

List all available products using `list_products` to build comprehensive storefront views. You can also get detailed information on a specific product via `get_content`. This is key when your agent needs to present merchandise alongside video access. If you need to see what content groups exist, use `list_collections`, or pull details on one group with `get_collection`.

Process Sales and Memberships

Get a full view of sales by running `list_transactions`. You can also get granular data using `list_transactions` to check payment history. This is critical for billing cycles. To track access, use `list_subscriptions` or fetch specific membership details with `list_subscriptions`. It’s the reliable backbone for any monetization system.

Setup guide

Set up Uscreen MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 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 Uscreen tools in your ADK agent.

agent.py
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="Uscreen_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Uscreen 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 Uscreen. 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 Uscreen MCP in Google ADK

Your agent uses BigQuery to act on data provided by the MCP Server. You simply expose tools like `list_transactions` through your toolset, and Gemini models process that structure directly within Vertex AI.
You can run `list_content` to see all media assets. If you need to group those assets, first call `list_collections`, then request details on the specific grouping using `get_collection`.
The server gives access to customer records (`list_customers`), product listings (`list_products`), and all financial activity via the `list_transactions` tool. It's a comprehensive set of e-commerce tools.
Start by calling `check_uscreen_status`. This confirms connectivity across all required services, making sure your enterprise pipeline doesn’t fail due to a simple connection issue.
The server touches customer identity data. When using `get_customer`, the agent receives specific user profiles, allowing you to process account actions while keeping sensitive payment details abstracted away.

Start using the Uscreen MCP today

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Built & Managed by Vinkius 30s setup 10 tools

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