How to Use the Ebby MCP in Google ADK

Q: How do I configure the Ebby MCP Server inside Google ADK?

Initialize McpToolset with the HTTP transport parameters pointing to your Vinkius endpoint, and pass it to your Google ADK LlmAgent tools array. You can use the optional toolnames filter to expose only the specific Ebby tools your Google ADK agent needs.

Q: Can a Google ADK agent audit our Ebby processing volumes?

Yes, your Google ADK agent calls quicktranscriptionvolumeaudit to pull high-level metrics on processed audio. It can then export these Ebby usage rates directly to Google Cloud monitoring tools for real-time tracking.

Q: What happens if an Ebby audio transcription is still processing in Google ADK?

Your Gemini agent can poll listinprogresstranscriptions to check the queue. Once the file drops off that list, the Google ADK agent calls gettranscriptiontext to continue the Google ADK pipeline.

Run enterprise Gemini agents with Google ADK to analyze and query Ebby audio transcriptions across BigQuery workflows.

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Connect Ebby MCP to Google ADK

Create your Vinkius account to connect Ebby 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 Ebby with Google ADK

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Query transcription files with Google ADK

Your Google ADK agent uses `search_transcriptions_by_name` to locate specific Ebby audio records matching your database entries. It queries filenames directly, matching them against metadata you have stored in BigQuery to sync transcription statuses. Once located, it calls `get_transcription_details` to pull the precise Ebby configuration. This lets your Google ADK agent verify that settings match your enterprise compliance standards before processing the text.

Analyze long-context audio text in Gemini

This MCP Server provides `get_transcription_text` to feed raw transcript text directly into Gemini's massive context window. Your Google ADK agent can run deep semantic analysis on hours of Ebby audio without running out of token space. It pairs this with `list_transcription_speakers` to map the full Ebby conversation structure. Because Google ADK integrates natively with Vertex AI, you can store these structured speaker maps directly back into your cloud storage.

Monitor active processing pipelines

Your Google ADK agent runs `list_in_progress_transcriptions` to track the state of active Ebby audio processing queues. This allows your enterprise Google ADK workflows to pause downstream analysis until the Ebby audio is fully ready. As soon as Ebby processing finishes, the Google ADK agent uses `list_successfully_processed_audio` to trigger your BigQuery ingestion pipeline. This keeps your data pipelines moving automatically without manual polling scripts.

Setup guide

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

Initialize `McpToolset` with the HTTP transport parameters pointing to your Vinkius endpoint, and pass it to your Google ADK `LlmAgent` tools array. You can use the optional `tool_names` filter to expose only the specific Ebby tools your Google ADK agent needs.

Yes, your Google ADK agent calls `quick_transcription_volume_audit` to pull high-level metrics on processed audio. It can then export these Ebby usage rates directly to Google Cloud monitoring tools for real-time tracking.

This MCP Server runs on Vinkius's zero-trust infrastructure, allowing your Google ADK agent to securely query `list_audio_transcriptions` at scale. It handles Ebby authentication via a single endpoint token, eliminating credential leaks in your Google Cloud environment.

Your Gemini agent can poll `list_in_progress_transcriptions` to check the queue. Once the file drops off that list, the Google ADK agent calls `get_transcription_text` to continue the Google ADK pipeline.

All Ebby audio text and speaker datasets processed by Google ADK are executed in ephemeral V8 sandboxes. No Ebby transcription data is stored on Vinkius, ensuring your Google Cloud enterprise compliance requirements are strictly met.

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