# How to integrate Rev ai MCP with Mastra AI

```json
{
  "title": "How to integrate Rev ai MCP with Mastra AI",
  "toolkit": "Rev ai",
  "toolkit_slug": "rev_ai",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/rev_ai/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/rev_ai/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:24:09.832Z"
}
```

## 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 this meeting audio to text, get captions for latest video job, list all transcription jobs from last week 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

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

## 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 speech-to-text workflows, so your agent can perform actions like transcribing audio, retrieving transcripts, managing custom vocabularies, and handling transcription jobs on your behalf.
- Automated audio and video transcription: Effortlessly submit audio or video files for transcription, and let your agent monitor job progress until transcripts are ready.
- Transcript and caption retrieval: Retrieve full transcripts in multiple formats or download caption files (SRT, VTT) for completed jobs—perfect for both review and publishing.
- Custom vocabulary management: Enhance transcription accuracy by submitting and maintaining domain-specific vocabularies, including adding new terms and deleting unused sets.
- Transcription job management: List, fetch, or delete transcription jobs by ID, making it easy for your agent to keep your workspace organized and up-to-date.
- Real-time streaming transcription: Start live stream transcriptions for instant speech-to-text conversion, allowing your agent to process and react to spoken content in real time.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `REV_AI_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_AI_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_AI_GET_ACCOUNT` | Get Account | Tool to retrieve developer account details. Use after authenticating with Rev AI. |
| `REV_AI_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_AI_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_AI_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_AI_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_AI_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_AI_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_AI_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_AI_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 agent to Rev ai. It provides structured and secure access so your agent can perform Rev ai operations on your behalf through a secure, permission-based interface.
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

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

### 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 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Rev ai through MCP.

### 2. Install dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

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
```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,
});
```

### 5. Create a Tool Router session for Rev ai

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "rev_ai" for Rev ai access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["rev_ai"],
    },
  );

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

### 6. Configure Mastra MCP client and fetch tools

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
```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);
```

### 7. Create the Mastra agent

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

### 8. Set up interactive chat interface

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
```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_ai: 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);
});
```

## Complete Code

```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_ai"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "rev_ai-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_ai: 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

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

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

## Related Toolkits

- [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.
- [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.
- [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.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.
- [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences.
- [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement.
- [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team.
- [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs.
- [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code.
- [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets.
- [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features.

## 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 Mastra AI?

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.

### 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)