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How to Use the Elai AI Video MCP in Google ADK

Deploy video production agents on Google ADK. Link your cloud data to video generation using this MCP Server.

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Google ADK

Connect Elai AI Video MCP to Google ADK

Create your Vinkius account to connect Elai AI Video 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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Google ADK integration for video production

Your agent connects to the Elai API to generate video content directly from your BigQuery datasets. Use `create_new_ai_video` to turn database rows into scripts. It bridges the gap between your cloud data and visual output. Your agent manages the entire translation process.

Scale video output with Google ADK

Run `list_latest_video_projects` to keep your agent updated on current tasks. It triggers render cycles using `trigger_video_rendering` based on your cloud-native triggers. This architecture supports high-volume content pipelines. Your agent keeps rendering status synced with your internal logs.

Audit assets via Google ADK

Your agent queries your library using `list_ai_videos` to ensure nothing is missing. It verifies render states with `get_video_details` to confirm all files are ready for download. It provides a clean audit trail for every asset produced. You keep full control over your media lifecycle.

Setup guide

Set up Elai AI Video 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 Elai AI Video 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="Elai AI Video_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Elai AI Video 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 Elai AI Video. 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

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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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 Elai AI Video MCP in Google ADK

Absolutely. Use the McpToolset to include these tools in your agent definition. It works natively with your existing Gemini-based logic.
The agent calls `list_available_avatars` to fetch the current list. It then chooses the appropriate avatar ID to pass into your video creation function.
Yes. Your agent fetches all available templates using `list_video_templates`. It then uses the chosen template ID to generate your video drafts.
Use `get_elai_account_metadata` to pull your usage statistics. Your agent can alert you if your credit balance drops below a set threshold.
Your scripts are processed only during the active request. We maintain strict isolation, and your data is never stored outside your authorized project environment.

Start using the Elai AI Video MCP today

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