How to Use the CaptionHub MCP in Google ADK

Run enterprise-grade video captioning pipelines with Google ADK and CaptionHub.

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Connect CaptionHub MCP to Google ADK

Create your Vinkius account to connect CaptionHub 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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Setup CaptionHub with Google ADK

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Long-context video analysis with this MCP Server.

Combine Gemini's massive context window with this MCP Server and the `get_project_details` tool to pull current status. Your agent uses this information to cross-reference translation progress with your BigQuery archives. With the Google ADK, your agent can process complex translation tasks across hundreds of videos. It updates metadata via `update_project` based on deep analytical insights.

Automated transcription triggers for cloud workflows.

The `transcribe_video` tool lets your enterprise agents initiate transcription runs whenever new media assets are detected. This removes manual steps from your pipeline. This MCP Server allows you to limit which tools are exposed using the tool name filter in your toolset configuration. Doing this keeps your agent focused solely on transcription without exposing destructive administrative commands.

Track translation webhooks and exports.

Monitor your localization pipelines at scale by calling `list_webhooks` to verify your notification setup is active. The agent can then use `export_captions` to retrieve finished assets as soon as they are ready. This lets you build fully autonomous feedback loops. If a webhook fails, your agent notices the gap, checks the project details, and re-triggers the export.

Setup guide

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

Install the google-adk package and configure the streamable HTTP server parameters with your Vinkius endpoint. Pass the toolset directly to your LLM agent.

Yes, you can fetch the export URL with the export tool, pull the text, and feed it directly into Gemini's context window.

Vinkius manages the authentication handshake. Your agent only needs a single secure token passed via the HTTP server parameters.

Yes, you can pass a filtered list of tool names to your toolset configuration, leaving out modifying tools like project archiving.

All transit goes through Vinkius's zero-trust MCP infrastructure. Your project names, transcriptions, and account details are processed in an ephemeral sandbox environment.

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