How to integrate Rev AI MCP with Mastra AI

Connect Mastra AI 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.

Get started for free Get a demo

Rev AI

Api Key

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

Managed auth

Connect Rev AI without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

Book a call

Explore the MCP Gateway

Introduction

This guide walks you through connecting Rev AI to Mastra AI 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 Mastra AI 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

Claude Code Claude Cowork OpenAI Agents SDK Claude Agent SDK Codex OpenClaw Hermes Atomic Agent Google ADK LangChain Vercel AI SDK LlamaIndex CrewAI Pydantic AI AutoGen

TL;DR

Here's what you'll learn:

Set up your environment so Mastra, OpenAI, and Composio work together
Create a Tool Router session in Composio that exposes Rev AI tools
Connect Mastra's MCP client to the Composio generated MCP URL
Fetch Rev AI tool definitions and attach them as a toolset
Build a Mastra agent that can reason, call tools, and return structured results
Run an interactive CLI where you can chat with your Rev AI agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

MCP Client: Built-in support for Model Context Protocol servers
Toolsets: Organize tools into logical groups
Step Callbacks: Monitor and debug agent execution
OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:

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

Step-by-step Guide

Step by step09 STEPS

Prerequisites

Before starting, make sure you have:

Node.js 18 or higher
A Composio account with an active API key
An OpenAI API key
Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key.
You need credits or a connected billing setup to use the models.
Store the key somewhere safe.

Composio API Key

Log in to the Composio dashboard.
Go to Settings and copy your API key.
This key lets your Mastra agent talk to Composio and reach Rev AI through MCP.

Install dependencies

bash

npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

@composio/core is the Composio SDK for creating MCP sessions
@mastra/core provides the Agent class
@mastra/mcp is Mastra's MCP client
@ai-sdk/openai is the model wrapper for OpenAI
dotenv loads environment variables from .env

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your requests to Composio
COMPOSIO_USER_ID tells Composio which user this session belongs to
OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});

What's happening:

dotenv/config auto loads your .env so process.env.* is available
openai gives you a Mastra compatible model wrapper
Agent is the Mastra agent that will call tools and produce answers
MCPClient connects Mastra to your Composio MCP server
Composio is used to create a Tool Router session

Create a Tool Router session for Rev AI

typescript

async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["rev"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Rev AI MCP URL:", composioMCPUrl);

What's happening:

create spins up a short-lived MCP HTTP endpoint for this user
The toolkits array contains "rev" for Rev AI access
session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript

const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);

What's happening:

MCPClient takes an id for this client and a list of MCP servers
The headers property includes the x-api-key for authentication
getTools fetches the tool definitions exposed by the Rev AI toolkit

Create the Mastra agent

typescript

const agent = new Agent({
    name: "rev-mastra-agent",
    instructions: "You are an AI agent with Rev AI tools via Composio.",
    model: "openai/gpt-5",
  });

What's happening:

Agent is the core Mastra agent
name is just an identifier for logging and debugging
instructions guide the agent to use tools instead of only answering in natural language
model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript

let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        rev: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

What's happening:

messages keeps the full conversation history in Mastra's expected format
agent.generate runs the agent with conversation history and Rev AI toolsets
maxSteps limits how many tool calls the agent can take in a single run
onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

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

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["rev"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      rev: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "rev-mastra-agent",
    instructions: "You are an AI agent with Rev AI tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { rev: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Rev AI through Composio's Tool Router. You can extend this further by:

Adding other toolkits like Gmail, Slack, or GitHub
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows

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.

FRAMEWORKS

How to build Rev AI MCP Agent with another framework

Claude Code

Use Rev AI MCP with Claude Code

Claude Cowork

Use Rev AI MCP with Claude Cowork

OpenAI Agents SDK

Use Rev AI MCP with OpenAI Agents SDK

Claude Agent SDK

Use Rev AI MCP with Claude Agent SDK

Codex

Use Rev AI MCP with Codex

OpenClaw

Use Rev AI MCP with OpenClaw

Hermes

Use Rev AI MCP with Hermes

Atomic Agent

Use Rev AI MCP with Atomic Agent

Google ADK

Use Rev AI MCP with Google ADK

LangChain

Use Rev AI MCP with LangChain

Vercel AI SDK

Use Rev AI MCP with Vercel AI SDK

LlamaIndex

Use Rev AI MCP with LlamaIndex

CrewAI

Use Rev AI MCP with CrewAI

Pydantic AI

Use Rev AI MCP with Pydantic AI

AutoGen

Use Rev AI MCP with AutoGen

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Google Drive

Oauth2

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

Oauth2

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

No Auth

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

Oauth2Api Key

Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.

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. Mastra AI 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.

Start with Rev AI.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Rev AI tool your agent needs.Free to start.

Start building

How to integrate Rev AI MCP with Mastra AI

Connect Rev AI without auth hassles

Introduction

Also integrate Rev AI with

TL;DR

What is Mastra AI?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import libraries and validate environment

Create a Tool Router session for Rev AI

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build Rev AI MCP Agent with another framework

Claude Code

Claude Cowork

OpenAI Agents SDK

Claude Agent SDK

Codex

OpenClaw

Hermes

Atomic Agent

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Google Drive

Google Sheets

Composio

Notion

Frequently asked questions

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

Can I use Tool Router MCP with Mastra AI?+

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

How safe is my data with Composio Tool Router?+

Start with Rev AI.It takes 30 seconds.