How to Use the Speechnotes MCP in Google ADK

Q: What is the best way to check job progress with Speechnotes and Google ADK?

Call gettranscriptionstatus using the job ID. The agent confirms if the transcript is ready or still being processed by Speechnotes. You get real-time status updates in your workflow.

Q: How do I verify the source of a webhook payload with Speechnotes and Google ADK?

Use generatewebhooksignature. This tool validates that the notification truly came from Speechnotes, preventing data corruption. It's essential for maintaining enterprise-level trust.

Q: Can I see all available transcription models with Speechnotes and Google ADK?

Yes. Run listtranscriptionmodels to get a list of every engine model Speechnotes offers. This lets your agent select the perfect tool for the required accuracy.

Q: What if I need to export results from Speechnotes using Google ADK?

First, gettranscriptionexport helps you pick the right format. Then, your agent can pull all finished results in that type, ready for BigQuery ingestion.

Q: How do I list past jobs with Speechnotes and Google ADK?

Use listtranscriptionhistory. The tool pulls up full details on every job you've run against the Speechnotes platform, making auditing straightforward.

Run enterprise transcription workflows with Google ADK.

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Connect Speechnotes MCP to Google ADK

Create your Vinkius account to connect Speechnotes 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 Speechnotes with Google ADK

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Transcribe remote audio files

When you run `transcribe_audio_url`, your agent sends a remote URL, and Speechnotes starts the job. It returns a unique ID immediately so that Google ADK can track the process. After initiating the job, use `get_transcription_status` to check progress. This gives you reliable status updates for your enterprise pipeline without blocking execution.

List and manage webhooks

Need to know where Speechnotes sends results? Use `list_configured_webhooks`. Your agent pulls a list of all active delivery endpoints. This is key for mapping your BigQuery data sources. If you need to verify incoming payloads, run `generate_webhook_signature`. It confirms the sender's identity, maintaining data integrity across Google Cloud services.

Audit usage and job records

Check your consumption with `get_usage_statistics`. This tool helps you manage billing by giving precise logs of what was processed. It's vital for budgeting in a large-scale cloud environment. Keep track of everything using `list_transcription_history`. Your agent pulls up full details on past jobs, letting your team audit the entire data lifecycle.

Setup guide

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

Call `get_transcription_status` using the job ID. The agent confirms if the transcript is ready or still being processed by Speechnotes. You get real-time status updates in your workflow.

Use `generate_webhook_signature`. This tool validates that the notification truly came from Speechnotes, preventing data corruption. It's essential for maintaining enterprise-level trust.

Yes. Run `list_transcription_models` to get a list of every engine model Speechnotes offers. This lets your agent select the perfect tool for the required accuracy.

First, `get_transcription_export` helps you pick the right format. Then, your agent can pull all finished results in that type, ready for BigQuery ingestion.

Use `list_transcription_history`. The tool pulls up full details on every job you've run against the Speechnotes platform, making auditing straightforward.

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