How to Use the Colossyan MCP in Google ADK
Run enterprise video automation pipelines using Google ADK to generate Colossyan drafts directly from your BigQuery data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Colossyan MCP to Google ADK
Create your Vinkius account to connect Colossyan 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.
BigQuery-Driven Video Generation
`generate_draft` enables your Google ADK agents to transform large rows of BigQuery data into structured Colossyan video drafts. Gemini processes your enterprise datasets, extracts the key insights, and passes them directly to this tool to build Colossyan videos at scale. This MCP Server handles the translation from BigQuery structured data to Colossyan video drafts. Your Google ADK agent then uses `get_video` to retrieve the finished Colossyan asset metadata and write the output links back to your Google Cloud database.
Google ADK Avatar Management
`create_actor` gives your Google ADK agent the power to generate instant Colossyan avatars using raw media assets stored in Google Cloud Storage. Your Google agent analyzes incoming video links, validates them with Vertex AI, and registers them as new Colossyan actors. To ensure you do not exceed Colossyan workspace limits, the Google ADK agent runs `list_actors` to audit your current catalog. It can then call `delete_video` to purge old Colossyan test runs and keep your Google Cloud storage footprint low.
Direct Template Rendering
`generate_from_template` lets your Google ADK agent ingest long-form context from Gemini and map it directly onto your saved Colossyan video templates. The Google agent reads the template requirements, processes the input text, and triggers the Colossyan rendering process. By calling `list_voices`, your Gemini-powered Google ADK agent matches the tone of the input text with the most appropriate Colossyan voice. It then initiates the Colossyan render and tracks it to completion using `get_job_status`.
Set up Colossyan 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 Colossyan 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="Colossyan_agent",
model="gemini-2.0-flash",
instruction="You have access to Colossyan 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 Colossyan. 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 Colossyan MCP in Google ADK
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