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How to Use the HeyGen MCP in Google ADK

Build enterprise video agents on Google ADK. Connect HeyGen tools to your Gemini infrastructure and automate video workflows.

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Google ADK

Connect HeyGen MCP to Google ADK

Create your Vinkius account to connect HeyGen 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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Gemini-powered video generation with Google ADK

Connect your Gemini models to the HeyGen server via `McpToolset`. Use `generate_from_prompt` to turn text inputs into finished video assets without custom middleware. This setup leverages the reasoning capabilities of Gemini to draft the script. The agent then executes the video creation automatically.

Scale your video output with Google ADK

Manage your production library by calling `list_generated_videos`. This allows your agent to track what has been rendered and verify the state of your project queue. Use `get_api_status` to ensure your connection remains active. If the server response times out, your agent can trigger alerts to your infrastructure monitoring stack.

Custom voice and avatar selection for Google ADK

Access the full range of digital actors and voices using `list_available_avatars` and `list_available_voices`. Your agent can now select the appropriate persona based on the target audience. This modular approach ensures your content stays consistent. Every call is routed through the MCP server, keeping your agent logic decoupled from the video engine.

Setup guide

Set up HeyGen 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 HeyGen 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="HeyGen_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HeyGen 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 HeyGen. 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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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 HeyGen MCP in Google ADK

Install the framework and use McpToolset to point at your server endpoint. Once defined, pass the toolset into the LlmAgent configuration.
Yes. Your agent can read data from BigQuery, format it into a script, and pass the text to `generate_ai_video` to create personalized content.
Yes. By using the toolset, you can orchestrate complex video pipelines that manage hundreds of assets across multiple templates simultaneously.
The framework supports a tool_names filter. You can pass an array to this filter to expose only the specific functions your agent requires.
Data privacy is handled at the transport layer. The MCP server operates in a secure sandbox, and your API keys never leave the local environment.

Start using the HeyGen MCP today

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