How to integrate Rev AI MCP with Google ADK

Connect Google ADK to Rev AI MCP. Transcribe uploaded "team_meeting.mp3" audio file, get caption file for latest transcript, and more using natural language, with authentication handled for you.

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Rev AI is a speech-to-text platform offering high-quality transcripts, captions, and subtitles. It's known for combining human expertise with AI for accurate, affordable results.

36 Tools

Introduction

This guide walks you through connecting Rev AI to Google ADK using the Composio tool router. By the end, you'll have a working Rev AI agent that can transcribe uploaded "team_meeting.mp3" audio file, get caption file for latest transcript, check status of transcript for order 12345 through natural language commands.

This guide will help you understand how to give your Google ADK agent real control over a Rev AI account through Composio's Rev AI MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get a Rev AI account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Rev AI
  • Build an agent that connects to Rev AI through MCP
  • Interact with Rev AI using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

  • Gemini Integration: Native support for Google's Gemini models
  • MCP Toolset: Built-in support for Model Context Protocol tools
  • Streamable HTTP: Connect to external services through streamable HTTP
  • CLI and Web UI: Run agents via command line or web interface

What is the Rev AI MCP server, and what's possible with it?

The Rev AI MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Rev AI account. It provides structured and secure access to your transcription and speech analysis workflows, so your agent can transcribe recordings, generate captions, translate transcripts, identify languages, and analyze topics and sentiment on your behalf.

  • Audio and video transcription: Have your agent submit recorded media for transcription, check its progress, retrieve completed transcripts, and generate concise summaries.
  • Captions and translations: Let the agent retrieve captions in SRT or VTT format and fetch translated captions or transcripts for completed recordings.
  • Live transcription: Direct your agent to create live RTMP sessions or start WebSocket streams for real-time transcription of audio and video.
  • Language and speech alignment: Instruct your agent to identify the language spoken in a recording or align existing transcript text with its source audio.
  • Topic and sentiment analysis: Have your agent analyze text or transcripts to identify key themes and detect positive, negative, or neutral sentiment.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python
2

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio and create an API key.
  • Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
  • Log in to the Composio dashboard.
  • Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
  • Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.
3

Install dependencies

bash
pip install google-adk composio python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Rev AI via MCP
  • python-dotenv loads environment variables
4

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file
5

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

  • GOOGLE_API_KEY authenticates with Google's Gemini models
  • COMPOSIO_API_KEY authenticates with Composio
  • COMPOSIO_USER_ID identifies the user for session management
6

Import modules and validate environment

python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
What's happening:
  • os reads environment variables
  • Composio is the main Composio SDK client
  • GoogleProvider declares that you are using Google ADK as the agent runtime
  • Agent is the Google ADK LLM agent class
  • McpToolset lets the ADK agent call MCP tools over HTTP
7

Create Composio client and Tool Router session

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["rev"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
What's happening:
  • Authenticates to Composio with your API key
  • Declares Google ADK as the provider
  • Spins up a short-lived MCP endpoint for your user and selected toolkit
  • Stores the MCP HTTP URL for the ADK MCP integration
8

Set up the McpToolset and create the Agent

python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Rev AI operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
What's happening:
  • Connects the ADK agent to the Composio MCP endpoint through McpToolset
  • Uses Gemini as the model powering the agent
  • Lists exact tool names in instruction to reduce misnamed tool calls
9

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.

What's happening:

  • adk run runs the agent in CLI mode
  • adk web . opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Rev AI and Google ADK:

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["rev"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Rev AI operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")

Conclusion

You've successfully integrated Rev AI with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Rev AI using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Rev AI tools
  • Environment variables keep your credentials secure and separate from code
  • Clear agent instructions reduce tool calling errors
  • The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

TOOLS

Supported Tools

Every Rev AI action and event your agent gets out of the box.

Create RTMP Stream

Tool to create an RTMP live stream session for real-time transcription of live audio/video streams.

Delete Alignment Job

Tool to delete a forced alignment job and its associated data.

Delete Custom Vocabulary

Tool to delete a completed custom vocabulary and its data.

Delete Job By ID

Tool to delete a completed transcription job and its data.

Delete Language ID Job

Tool to delete a language identification job and its associated data.

Delete Sentiment Analysis Job

Tool to delete a specific sentiment analysis job and its associated data.

Delete Topic Extraction Job

Tool to delete a topic extraction job and its associated data.

Get Account

Retrieves Rev AI account information including email, credit balance (in hours), and HIPAA status.

Get Alignment Job

Tool to get details of a specific forced alignment job including its status.

Get Alignment Transcript

Tool to retrieve the aligned transcript with timestamps for a completed alignment job.

Get Captions

Tool to retrieve captions (SRT or VTT) for a completed Rev.

Get Captions Translation

Tool to retrieve translated captions for a completed Rev.

Get Custom Vocabulary Details

Tool to retrieve custom vocabulary processing details.

Get Job by ID

Tool to fetch details of a transcription job by its ID.

Get Language ID Job

Tool to fetch details of a language identification job by its ID.

Get Language Identification Result

Tool to retrieve language identification results for a completed job.

Get List of Jobs

Retrieves a list of transcription jobs from the past 30 days in reverse chronological order (newest first).

Get Sentiment Job

Tool to fetch details of a sentiment analysis job by its ID.

Get Sentiment Analysis Result

Tool to retrieve sentiment analysis results for a completed Rev.

Get Topic Extraction Result

Tool to retrieve topic extraction results for a completed job.

Get Topic Job

Tool to fetch details of a topic extraction job by its ID.

Get Transcript by ID

Tool to retrieve the transcript of a completed Rev.

Get Transcript Summary

Tool to retrieve a summary of the transcript for a completed transcription job.

Get Transcript Translation

Tool to retrieve a translated version of the transcript for a completed Rev.

List Alignment Jobs

Tool to retrieve a list of all forced alignment jobs for the account.

List Custom Vocabularies

Tool to retrieve a list of all custom vocabularies for the account.

List Language Identification Jobs

Tool to retrieve a list of language identification jobs for the account.

List Sentiment Analysis Jobs

Tool to retrieve a list of all sentiment analysis jobs for the account.

List Topic Extraction Jobs

Tool to retrieve a list of all topic extraction jobs for the account.

Start Stream Transcription

Tool to start a WebSocket transcription stream.

Submit Alignment Job

Tool to submit an audio file with existing transcript for forced alignment.

Submit Custom Vocabulary

Submits a custom vocabulary to Rev.

Submit Language ID Job

Tool to submit an audio file for language identification to detect the spoken language.

Submit Sentiment Analysis Job

Submit text for sentiment analysis to detect positive, negative, or neutral sentiments.

Submit Topic Extraction Job

Tool to submit text or transcripts for topic extraction to identify key topics and themes.

Submit Transcription Job

Submit an audio or video file for asynchronous transcription using Rev.

FAQ

Frequently asked questions

With a standalone Rev AI MCP server, the agents and LLMs can only access a fixed set of Rev AI tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Rev AI and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Rev AI tools.

Yes, absolutely. You can configure which Rev AI scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Rev AI data and credentials are handled as safely as possible.

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