How to Use the Descript MCP in Google ADK

Integrate Descript media workflows directly into your Google ADK agent logic.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Descript MCP to Google ADK

Create your Vinkius account to connect Descript 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 Descript with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Control Descript drives via Google ADK

Your agent maps out your entire video library using `list_drives` and `list_projects`. It identifies the right assets for your task without human oversight. You build agents that reason over your media inventory. The Google ADK framework handles the tool calls cleanly while you manage complex branching logic.

Process transcripts using Google ADK

Upload files through `create_transcription` and let your agent handle the rest. It fetches the finished text with `get_transcription` for use in your downstream analysis. This works perfectly with long-context models. Your agent reads entire transcripts to find specific clips or generate show notes.

Deploy Descript exports with Google ADK

Trigger `create_export` when your agent finishes editing or summarizing content. It monitors export status via `list_exports` so your pipeline knows exactly when a file is ready. You gain programmatic control over the export process. It allows for reliable automation of repetitive media tasks.

Setup guide

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

Use the McpToolset class within your agent setup. Point it to the provided server URL and define your tool names to start calling functions immediately.

Yes, the server communicates over standard HTTP transports. It integrates naturally with your existing Google Cloud architecture and agent workflows.

Absolutely. You can loop through projects and batch process files using the available tools. The server handles the orchestration while your agent manages the data.

You get full access to all eight tools, including project listing, transcription services, and export management.

Your project data is handled through secure, ephemeral tunnels. We only touch your video and audio metadata to perform the actions you explicitly trigger.

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