How to Use the Spiritme MCP in Google ADK

Q: Can I list all available voices with Spiritme and the Google ADK?

Absolutely. The listvoices tool pulls every voice option into your agent's context. This lets you assign highly specific, localized tones for different regions or campaigns.

Q: What if I need to update an existing video? Can Spiritme handle it with the Google ADK?

You can start a new render job using generatevideo and reference the old content's IDs. The system handles the updates, making sure your agent is always working with current information.

Q: Does Spiritme support generating audio components with the Google ADK?

Yes. Use generateaudio to create standalone voice tracks. This function separates the sound from the video rendering, giving you maximum flexibility for your pipelines.

Q: What data privacy assurances are provided when using Spiritme and the Google ADK?

The MCP Server handles video metadata. The system confirms that only necessary job and asset identifiers are logged for processing, keeping your content details private. This is built into the core architecture.

Scale personalized video generation with the Google ADK. Enterprise grade automation connecting to BigQuery.

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Connect Spiritme MCP to Google ADK

Create your Vinkius account to connect Spiritme to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Spiritme with Google ADK

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Run campaigns using the MCP Server.

You can build entire marketing pipelines by having your agent generate videos at scale. The `generate_video` tool works off complex inputs, letting you use data from BigQuery to personalize messages for thousands of recipients. It’s built for enterprise volume. Use it alongside asset tools like `list_avatars` and `get_template` to ensure every video adheres to corporate branding guidelines.

Get detailed asset information.

Need specific data points on your assets? The MCP Server lets you pull details using functions like `get_avatar`, which gives rich profiles for digital humans. Similarly, `list_videos` provides a structured inventory of all generated content. This level of granular control means your agent always knows exactly what resources it's working with before it starts rendering.

Manage the full lifecycle of content.

The system lets you manage everything from initial creation to final cleanup. If a video isn't needed anymore, `delete_video` handles removal. And if you need to check on an ongoing render job, `get_job_status` gives you real-time feedback. This ensures that your agent pipeline is clean and predictable, which is critical when running massive batch jobs.

Setup guide

Set up Spiritme 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

Install Google ADK

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

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

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 Spiritme 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="Spiritme_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Spiritme tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Spiritme. 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.

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Common questions about Spiritme MCP in Google ADK

The MCP Server allows your agent to use structured data from BigQuery tables as input for video generation. This means personalization isn't just theoretical; it's based on actual user records.

Absolutely. The `list_voices` tool pulls every voice option into your agent's context. This lets you assign highly specific, localized tones for different regions or campaigns.

You can start a new render job using `generate_video` and reference the old content's IDs. The system handles the updates, making sure your agent is always working with current information.

Yes. Use `generate_audio` to create standalone voice tracks. This function separates the sound from the video rendering, giving you maximum flexibility for your pipelines.

The MCP Server handles `video metadata`. The system confirms that only necessary job and asset identifiers are logged for processing, keeping your content details private. This is built into the core architecture.

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