# How to integrate Rev AI MCP with Autogen

```json
{
  "title": "How to integrate Rev AI MCP with Autogen",
  "toolkit": "Rev AI",
  "toolkit_slug": "rev",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/rev/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/rev/framework/autogen.md",
  "updated_at": "2026-03-29T06:48:07.517Z"
}
```

## Introduction

This guide walks you through connecting Rev AI to AutoGen 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 AutoGen 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.

## Also integrate Rev AI with

- [OpenAI Agents SDK](https://composio.dev/toolkits/rev/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/rev/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/rev/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/rev/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/rev/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/rev/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/rev/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/rev/framework/cli)
- [Google ADK](https://composio.dev/toolkits/rev/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/rev/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/rev/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/rev/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/rev/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/rev/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Rev AI
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Rev AI tools
- Run a live chat loop where you ask the agent to perform Rev AI operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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 so your agent can perform Rev AI operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `REV_DELETE_CUSTOM_VOCABULARY` | Delete Custom Vocabulary | Tool to delete a completed custom vocabulary and its data. Use when you need to remove an unused vocabulary after confirming it's no longer needed. |
| `REV_DELETE_JOB_BY_ID` | Delete Job By ID | Tool to delete a completed transcription job and its data. Use when you need to permanently remove a finished job after confirming it's no longer needed. |
| `REV_GET_ACCOUNT` | Get Account | Tool to retrieve developer account details. Use after authenticating with Rev AI. |
| `REV_GET_CAPTIONS` | Get Captions | Tool to retrieve captions (SRT or VTT) for a completed Rev.ai transcription job. Use after confirming the job status is 'completed'. |
| `REV_GET_CUSTOM_VOCABULARY_DETAILS` | Get Custom Vocabulary Details | Tool to retrieve custom vocabulary processing details. Use when needing to fetch the status and submitted phrases for a specific custom vocabulary after creation. |
| `REV_GET_JOB_BY_ID` | Get Job by ID | Tool to fetch details of a transcription job by its ID. Use when confirming job status and metadata are accurate. |
| `REV_GET_LIST_OF_JOBS` | Get List of Jobs | Tool to get list of transcription jobs from the past 30 days. Use when you need to retrieve and paginate through recent transcription tasks. |
| `REV_GET_TRANSCRIPT_BY_ID` | Get Transcript by ID | Tool to retrieve the transcript of a completed Rev.ai job. Use after confirming job is complete. Supports JSON format (with timestamps and speaker info) or plain text format. |
| `REV_START_STREAM_TRANSCRIPTION` | Start Stream Transcription | Tool to start a WebSocket transcription stream. Use when you need real-time speech-to-text streaming via Rev.ai. |
| `REV_SUBMIT_CUSTOM_VOCABULARY` | Submit Custom Vocabulary | Tool to submit a custom vocabulary for improved speech recognition. Use when you want to process domain-specific terms asynchronously. |
| `REV_SUBMIT_TRANSCRIPTION_JOB` | Submit Transcription Job | Tool to submit a new transcription job. Use when you have a media URL or file bytes ready for async processing. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Rev AI MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Rev AI. Instead of manually wiring Rev AI APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Rev AI account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Rev AI via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Rev AI connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Rev AI tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Rev AI session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["rev"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Rev AI tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Rev AI assistant agent with MCP tools
    agent = AssistantAgent(
        name="rev_assistant",
        description="An AI assistant that helps with Rev AI operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Rev AI tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Rev AI related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Rev AI session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["rev"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Rev AI assistant agent with MCP tools
        agent = AssistantAgent(
            name="rev_assistant",
            description="An AI assistant that helps with Rev AI operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Rev AI related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Rev AI through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Rev AI, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Rev AI MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/rev/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/rev/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/rev/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/rev/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/rev/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/rev/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/rev/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/rev/framework/cli)
- [Google ADK](https://composio.dev/toolkits/rev/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/rev/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/rev/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/rev/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/rev/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/rev/framework/crew-ai)

## Related Toolkits

- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Rev AI MCP?

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.

### Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen 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.

### Can I manage the permissions and scopes for Rev AI while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)