How to Use the AssemblyAI MCP in Google ADK

Q: Can I restrict which AssemblyAI tools the Google ADK sees?

Yes, you can. Use the toolnames filter in your toolset configuration to expose only specific functions, like hiding the delete command from read-only agents.

Give your Google ADK agents the ability to transcribe and analyze audio using Gemini's massive context window.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AssemblyAI MCP to Google ADK

Create your Vinkius account to connect AssemblyAI 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.

GDPR Free for Subscribers

Setup AssemblyAI with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Feed audio to Google ADK agents

The `transcribe_audio` tool pushes media links to AssemblyAI to generate text. Your Gemini model takes that output and holds the entire conversation in its massive context window. Instead of chunking data, your agent reads the entire transcript at once. It pulls the completed text using `get_transcript` and immediately writes the insights into BigQuery.

Parse speech with this MCP Server

Calling `get_transcript_sentences` forces the system to return exact timestamps and distinct phrases. Structuring raw audio helps enterprise agents find specific quotes faster. Gemini can then cross-reference these sentences against your Vertex AI knowledge base. If a customer mentions a specific product issue, the agent isolates that exact moment.

Control transcription records

The `list_transcripts` tool lets your Google ADK setup audit what files are currently processing. Agents need to clean up after themselves to avoid clutter. After the data hits your cloud storage, the agent runs `delete_transcript`. This removes the transcription record from the source, maintaining a tight data lifecycle.

Setup guide

Set up AssemblyAI 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 AssemblyAI 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="AssemblyAI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AssemblyAI tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AssemblyAI. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AssemblyAI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AssemblyAI MCP in Google ADK

Install google-adk and set up an McpToolset using the StreamableHttpServerParameters class. Pass that toolset into your LlmAgent under the tools array.

Yes, you can. Use the tool_names filter in your toolset configuration to expose only specific functions, like hiding the delete command from read-only agents.

It works perfectly. The agent handles the transcription requests via the MCP standard, and you can route the resulting text right into your Vertex AI pipelines.

HTTP transport works better for distributed cloud deployments. Vinkius manages the endpoint, so your agent just needs the URL to connect securely.

The MCP server processes the transcription requests in a zero-trust, ephemeral sandbox. Once the text is returned to your agent, the connection dies and no audio or text remains on Vinkius servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript