How to Use the CAMB.AI MCP in Google ADK

Q: Can Google ADK filter which CAMB.AI tools the agent sees?

Yes, you can restrict access. The McpToolset accepts a toolnames list where you can specify only createtts and getttsresult. This prevents your agent from accidentally triggering expensive dubbing jobs.

Connect the CAMB.AI MCP Server to Google ADK and let Gemini automate your enterprise audio dubbing pipelines directly within Google Cloud.

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Connect CAMB.AI MCP to Google ADK

Create your Vinkius account to connect CAMB.AI 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 CAMB.AI with Google ADK

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Enterprise Audio Translation

Gemini models can process massive amounts of context, making them ideal for managing complex localization workflows. By connecting Google ADK to the `create_dubbing` tool, your agent reads translation mappings directly from BigQuery. It matches your corporate videos to the correct regional dialects using `list_target_languages`. Long-context reasoning allows the agent to understand entire video transcripts before making decisions. It calls `get_job_status` to monitor the translation progress across multiple files at once. You keep everything running inside your existing Google Cloud infrastructure while this MCP Server handles the actual audio processing.

Voice Cloning via Google ADK

Building a consistent brand voice requires custom audio profiles. Your Vertex AI agent uses `create_voice_clone` to process reference audio stored in Google Cloud Storage. The agent registers the speaker identity and makes it available for future text-to-speech tasks. Managing these profiles is simple. The agent runs `list_cloned_voices` to verify the new identity exists. You can restrict which agents access these specific cloning tools by using the MCP filter in your toolset configuration.

Automated Text-to-Speech Generation

Generating marketing materials in multiple languages takes time. Your Gemini agent reads campaign copy from your database and feeds it into `create_tts`. It selects the appropriate regional accent by checking `list_voices` beforehand. Tracking the generation happens automatically. The agent polls `get_tts_status` until the audio is ready. Once finished, it retrieves the download link via `get_tts_result` and logs the final asset location back into BigQuery.

Setup guide

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

You install the google-adk package and configure an MCP Toolset with your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent initialization. The Gemini model will immediately recognize the audio processing tools.

Yes, you can restrict access. The McpToolset accepts a tool_names list where you can specify only create_tts and get_tts_result. This prevents your agent from accidentally triggering expensive dubbing jobs.

The MCP Server itself processes audio, but your Gemini agent bridges the gap. It can read text scripts from BigQuery and pass them directly into the create_tts tool. It then writes the resulting audio URLs back to your database.

Gemini's massive token window lets it analyze complete video scripts before calling create_dubbing. It understands the full context of the media. The agent then maps the correct dialects using list_source_languages without losing track of the original narrative.

Custom voice clones and corporate audio scripts remain strictly protected. Vinkius provides an ephemeral environment where your authentication token grants temporary access. The server connection drops immediately after the task finishes, leaving no lingering attack vectors for your media assets.

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