# How to integrate Rev ai MCP with Claude Code ```json { "title": "How to integrate Rev ai MCP with Claude Code", "toolkit": "Rev ai", "toolkit_slug": "rev_ai", "framework": "Claude Code", "framework_slug": "claude-code", "url": "https://composio.dev/toolkits/rev_ai/framework/claude-code", "markdown_url": "https://composio.dev/toolkits/rev_ai/framework/claude-code.md", "updated_at": "2026-05-12T10:24:09.832Z" } ``` ## Introduction Manage your Rev ai directly from Claude Code with zero worries about OAuth hassles, API-breaking issues, or reliability and security concerns. You can do this in two different ways: - Via [Composio Connect](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code) - Direct and easiest approach - Via [Composio SDK](https://docs.composio.dev/docs?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_sdk) - Programmatic approach with more control ## 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 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) - [Mastra AI](https://composio.dev/toolkits/rev_ai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/rev_ai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/rev_ai/framework/crew-ai) ## TL;DR - Only one MCP URL to connect multiple apps with Claude Code with zero auth hassles. - Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling. - Handling Large tool responses out of LLM context to minimize context rot. - Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need. ## Connect Rev ai to Claude Code ### Connecting Rev ai to Claude Code using Composio 1. Add the Composio MCP to Claude ```bash claude mcp add --scope user --transport http composio https://connect.composio.dev/mcp ``` ## What is Claude Code? Claude Code is Anthropic's command line developer tool that lets you use Claude directly inside your terminal. Instead of switching between your editor, browser, and chat, you can stay in your project folder and ask Claude to help you build, debug, refactor, and understand code right where you're working. Key features include: - Terminal-Native Experience: Work with Claude directly in your command line without switching contexts - MCP Support: Built-in support for Model Context Protocol servers to extend Claude's capabilities - Project Context: Claude understands your project structure and can read, write, and modify files - Interactive Development: Ask questions, debug code, and get help in real-time while coding - Multi-Platform: Works on macOS, Linux, WSL, and Windows ## 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 Claude Code (and other AI assistants like Claude and Cursor) directly to your Rev ai account. It provides structured and secure access so Claude can perform Rev ai operations on your behalf. 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: - Claude Pro, Max, or API billing enabled Anthropic account - Composio API Key - A Rev ai account - Basic knowledge of Python or TypeScript ### 1. Install Claude Code To install Claude Code, use one of the following methods based on your operating system: ```bash # macOS, Linux, WSL curl -fsSL https://claude.ai/install.sh | bash # Windows PowerShell irm https://claude.ai/install.ps1 | iex # Windows CMD curl -fsSL https://claude.ai/install.cmd -o install.cmd && install.cmd && del install.cmd ``` ### 2. Set up Claude Code Open a terminal, go to your project folder, and start Claude Code: - Claude Code will open in your terminal - Follow the prompts to sign in with your Anthropic account - Complete the authentication flow - Once authenticated, you can start using Claude Code ```bash cd your-project-folder claude ``` ### 3. Set up environment variables Create a .env file in your project root with the following variables: - COMPOSIO_API_KEY authenticates with Composio (get it from [Composio dashboard](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=api_key&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code)) - USER_ID identifies the user for session management (use any unique identifier) ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here ``` ### 4. Install Composio library No description provided. ```python pip install composio-core python-dotenv ``` ```typescript npm install @composio/core dotenv ``` ### 5. Generate Composio MCP URL No description provided. ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["rev_ai"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http rev_ai-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['rev_ai'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http rev_ai-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ### 6. Run the script and copy the MCP URL No description provided. ```python python generate_mcp_url.py ``` ```typescript node --loader ts-node/esm generate_mcp_url.ts # or if using tsx tsx generate_mcp_url.ts ``` ### 7. Add Rev ai MCP to Claude Code In your terminal, add the MCP server using the command from the previous step. The command format is: - claude mcp add registers a new MCP server with Claude Code - --transport http specifies that this is an HTTP-based MCP server - The server name (rev_ai-composio) is how you'll reference it - The URL points to your Composio Tool Router session - --headers includes your Composio API key for authentication After running the command, close the current Claude Code session and start a new one for the changes to take effect. ```bash claude mcp add --transport http rev_ai-composio "YOUR_MCP_URL_HERE" --headers "X-API-Key:YOUR_COMPOSIO_API_KEY" # Then restart Claude Code exit claude ``` ### 8. Verify the installation Check that your Rev ai MCP server is properly configured. - This command lists all MCP servers registered with Claude Code - You should see your rev_ai-composio entry in the list - This confirms that Claude Code can now access Rev ai tools If everything is wired up, you should see your rev_ai-composio entry listed: ```bash claude mcp list ``` ### 9. Authenticate Rev ai The first time you try to use Rev ai tools, you'll be prompted to authenticate. - Claude Code will detect that you need to authenticate with Rev ai - It will show you an authentication link - Open the link in your browser (or copy/paste it) - Complete the Rev ai authorization flow - Return to the terminal and start using Rev ai through Claude Code Once authenticated, you can ask Claude Code to perform Rev ai operations in natural language. For example: - "Transcribe this meeting audio to text" - "Get captions for latest video job" - "List all transcription jobs from last week" ## Complete Code ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["rev_ai"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http rev_ai-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['rev_ai'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http rev_ai-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ## Conclusion You've successfully integrated Rev ai with Claude Code using Composio's MCP server. Now you can interact with Rev ai directly from your terminal using natural language commands. Key features of this setup: - Terminal-native experience without switching contexts - Natural language commands for Rev ai operations - Secure authentication through Composio's managed MCP - Tool Router for dynamic tool discovery and execution Next steps: - Try asking Claude Code to perform various Rev ai operations - Add more toolkits to your Tool Router session for multi-app workflows - Integrate this setup into your development workflow for increased productivity You can extend this by adding more toolkits, implementing custom workflows, or building automation scripts that leverage Claude Code's capabilities. ## 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 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) - [Mastra AI](https://composio.dev/toolkits/rev_ai/framework/mastra-ai) - [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 Claude Code? Yes, you can. Claude Code 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)