# How to integrate Happy scribe MCP with CrewAI ```json { "title": "How to integrate Happy scribe MCP with CrewAI", "toolkit": "Happy scribe", "toolkit_slug": "happy_scribe", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/happy_scribe/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/happy_scribe/framework/crew-ai.md", "updated_at": "2026-05-12T10:14:37.015Z" } ``` ## Introduction This guide walks you through connecting Happy scribe to CrewAI using the Composio tool router. By the end, you'll have a working Happy scribe agent that can transcribe this podcast episode to text, generate subtitles for uploaded video file, export subtitles in srt format for review through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Happy scribe account through Composio's Happy scribe MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Happy scribe with - [OpenAI Agents SDK](https://composio.dev/toolkits/happy_scribe/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/happy_scribe/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/happy_scribe/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/happy_scribe/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/happy_scribe/framework/codex) - [OpenClaw](https://composio.dev/toolkits/happy_scribe/framework/openclaw) - [Hermes](https://composio.dev/toolkits/happy_scribe/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/happy_scribe/framework/cli) - [Google ADK](https://composio.dev/toolkits/happy_scribe/framework/google-adk) - [LangChain](https://composio.dev/toolkits/happy_scribe/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/happy_scribe/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/happy_scribe/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/happy_scribe/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Happy scribe connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Happy scribe - Build a conversational loop where your agent can execute Happy scribe operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## What is the Happy scribe MCP server, and what's possible with it? The Happy Scribe MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Happy Scribe account. It provides structured and secure access to your transcription and subtitle services, so your agent can perform actions like starting new transcriptions, generating subtitles, exporting files, and managing your transcription jobs on your behalf. - Automated transcription creation: Instantly start new transcription jobs from audio or video files using a simple agent command. - Subtitle generation for videos: Have your agent generate accurate subtitles for your video content for accessibility and localization. - Export and download transcripts or subtitles: Let your agent export completed transcriptions or subtitles in various formats for easy distribution. - Account and usage monitoring: Retrieve account details, subscription status, and API usage statistics to keep tabs on your service limits. - Transcription management and cleanup: Direct your agent to delete completed or unwanted transcription jobs, keeping your workspace organized. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `HAPPY_SCRIBE_CREATE_SUBTITLE` | Create Subtitle | Create subtitles for a video file using Happy Scribe's automatic transcription service. Submits a video URL to be processed for subtitle generation. The video must be publicly accessible during ingestion. Returns a subtitle job with an editor URL for reviewing and editing the generated subtitles. Processing states progress from 'initial' -> 'ingesting' -> 'automatic_done' (or 'failed'). Use the GET transcription endpoint to check processing status. | | `HAPPY_SCRIBE_CREATE_TRANSLATION_TASK` | Create Translation Task | Creates an AI-powered translation task to translate an existing transcription into another language. Use this after a transcription is complete (state='automatic_done') to translate it. The task runs asynchronously - use Retrieve Translation Task to check progress and get results. Note: Not all language pairs are supported (e.g., German to English may fail). | | `HAPPY_SCRIBE_DELETE_TRANSCRIPTION` | Delete Transcription | Tool to delete a transcription job. Use when you have a transcription ID and want to remove it, optionally permanently. Use after confirming the transcription ID. | | `HAPPY_SCRIBE_DELETE_WEBHOOK` | Delete Webhook | Deletes a webhook by its ID. This action is idempotent: if the webhook does not exist or was already deleted, it returns success. Use Get Webhooks to retrieve available webhook IDs. | | `HAPPY_SCRIBE_GET_ACCOUNT_DETAILS` | Get Account Details | Tool to retrieve details about your account, including subscription status and usage statistics. Use after authenticating your API key to monitor plan and usage. | | `HAPPY_SCRIBE_GET_LANGUAGE_LIST` | Get Supported Languages | Retrieve the list of supported language codes for Happy Scribe transcription services. Returns BCP-47 language codes and indicates which languages have human transcription service available. This is a static reference based on Happy Scribe's official documentation, as there is no dedicated languages API endpoint. | | `HAPPY_SCRIBE_GET_RATE_LIMIT` | Get API Rate Limit | Get Happy Scribe API rate limit information. Returns the documented rate limit for the Happy Scribe API: - Default limit: 200 requests per hour - Applies only to the transcription creation endpoint - When rate limited, API returns HTTP 429 with 'retry_in_seconds' in the body Note: Happy Scribe does not expose rate limit headers, so this tool provides documented defaults. If you encounter a 429 response during transcription creation, wait for the 'retry_in_seconds' value before retrying. For higher limits, contact sales@happyscribe.co with subject "Happy Scribe for Business". | | `HAPPY_SCRIBE_GET_SIGNED_UPLOAD_URL` | Get Signed Upload URL | Tool to get a signed URL for uploading a file to Happy Scribe's S3 storage. Use before creating a transcription or order to obtain a secure upload URL for your media file. | | `HAPPY_SCRIBE_HS_CONFIRM_ORDER` | Confirm Order | Tool to confirm a pending order. Use after creating an order with confirm=false when you're ready to submit it for processing. | | `HAPPY_SCRIBE_HS_CREATE_TRANSLATION_ORDER` | Create Translation Order | Tool to create a translation order from an existing transcription. Use when you have a completed transcription and want translations into one or more languages. By default, the order remains incomplete unless confirm=true. | | `HAPPY_SCRIBE_HS_EXPORT_TRANSCRIPTION` | Export Transcription | Creates an export job to download transcription content in various formats. Use this action after a transcription job completes (state='automatic_done'). First obtain transcription IDs using the List Transcriptions action. The export job runs asynchronously - poll the Retrieve Export action with the returned export ID to check when the download URL becomes available (state='ready'). Supported formats: - Documents: txt, docx, pdf (support timestamps, speakers, comments, highlights) - Subtitles: srt, vtt, stl (standard caption formats) - Video editing: avid, premiere, fcp (professional editing software) - Other: html, json, maxqda | | `HAPPY_SCRIBE_HS_GET_API_VERSION` | Get API Version | Tool to retrieve current API version and check for updates. If Happy Scribe does not expose a dedicated /version endpoint, this tool attempts to infer the version from HTTP response headers or from the base_url path (e.g., /api/v1). | | `HAPPY_SCRIBE_HS_GET_ERROR_CODES` | Get Error Codes | Returns a list of HTTP error codes used by the Happy Scribe API along with their descriptions. Use this tool to understand what different error responses mean when calling other Happy Scribe API endpoints. This returns static reference data matching the official Happy Scribe API documentation. | | `HAPPY_SCRIBE_HS_GET_SUPPORTED_FORMATS` | Get Supported Formats | Tool to retrieve supported file formats. Use when you need to know available input and output formats before creating a transcription or subtitle. If a dedicated '/formats' endpoint is unavailable, this action probes known endpoints to verify connectivity and returns a curated list based on official documentation. | | `HAPPY_SCRIBE_HS_GET_TRANSCRIPTION` | Get Transcription Details | Tool to retrieve details and status of a specific transcription job. Use after creating or listing transcription jobs to inspect a particular job's metadata. | | `HAPPY_SCRIBE_HS_GET_WEBHOOKS` | Get Webhooks | Tool to retrieve webhooks configured for your account. Note: Happy Scribe's public API does not have a dedicated webhooks listing endpoint. Webhooks are specified via webhook_url when creating orders. This action attempts common endpoints and returns an empty list if unavailable. | | `HAPPY_SCRIBE_HS_RETRIEVE_EXPORT` | Retrieve Export | Tool to retrieve information about a specific export. Use when you need to check export status and get download link. | | `HAPPY_SCRIBE_LIST_TRANSCRIPTIONS` | List Transcriptions | Retrieves a paginated list of transcription jobs for a Happy Scribe organization. Returns transcription metadata including ID, name, processing state, language, and duration. Supports filtering by folder and tags, with pagination for large result sets. Note: This returns metadata only; use the Export Transcription action to get actual transcript content. | | `HAPPY_SCRIBE_RETRIEVE_ORDER` | Retrieve Order | Retrieve details of a Happy Scribe order by its ID. Returns order state, pricing, operations, and inputs. Use this to check order status, verify pricing details, or get information about translation/transcription operations. The order ID is obtained from create order responses (e.g., Create Translation Order). | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Happy scribe MCP server is an implementation of the Model Context Protocol that connects your AI agent to Happy scribe. It provides structured and secure access so your agent can perform Happy scribe 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: - Python 3.9 or higher - A Composio account and API key - A Happy scribe connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Happy scribe via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Happy scribe MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Happy scribe **What's happening:** - You create a Happy scribe only session through Composio - Composio returns an MCP HTTP URL that exposes Happy scribe tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["happy_scribe"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() 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.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["happy_scribe"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Happy scribe through Composio's Tool Router. The agent can perform Happy scribe operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build Happy scribe MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/happy_scribe/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/happy_scribe/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/happy_scribe/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/happy_scribe/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/happy_scribe/framework/codex) - [OpenClaw](https://composio.dev/toolkits/happy_scribe/framework/openclaw) - [Hermes](https://composio.dev/toolkits/happy_scribe/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/happy_scribe/framework/cli) - [Google ADK](https://composio.dev/toolkits/happy_scribe/framework/google-adk) - [LangChain](https://composio.dev/toolkits/happy_scribe/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/happy_scribe/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/happy_scribe/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/happy_scribe/framework/llama-index) ## 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 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. - [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. - [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. - [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training. - [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses. - [Aryn](https://composio.dev/toolkits/aryn) - Aryn is an AI-powered platform for parsing, extracting, and analyzing data from unstructured documents. Use it to automate document processing and unlock actionable insights from your files. - [Boldsign](https://composio.dev/toolkits/boldsign) - Boldsign is a digital eSignature platform for sending, signing, and tracking documents online. Organizations use it to automate agreements and manage legally binding workflows efficiently. - [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price. - [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere. - [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code. - [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more. - [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place. - [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work. - [Cloudpress](https://composio.dev/toolkits/cloudpress) - Cloudpress is a content export tool for Google Docs and Notion. It automates publishing to your favorite Content Management Systems. - [Contentful graphql](https://composio.dev/toolkits/contentful_graphql) - Contentful graphql is a content delivery API that lets you access Contentful data using GraphQL queries. It gives you efficient, flexible ways to fetch and manage structured content for any digital project. - [Conversion tools](https://composio.dev/toolkits/conversion_tools) - Conversion Tools is an online service for converting documents between formats such as PDF, Word, Excel, XML, and CSV. It lets you automate complex document workflows with just a few clicks. - [Convertapi](https://composio.dev/toolkits/convertapi) - ConvertAPI is a robust file conversion service for documents, images, and spreadsheets. It streamlines programmatic format changes and lets developers automate complex workflows with a single API. - [Craftmypdf](https://composio.dev/toolkits/craftmypdf) - CraftMyPDF is a web-based service for designing and generating PDFs with templates and live data. It streamlines document creation by automating personalized PDFs at scale. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Happy scribe MCP? With a standalone Happy scribe MCP server, the agents and LLMs can only access a fixed set of Happy scribe tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Happy scribe and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? Yes, you can. CrewAI 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 Happy scribe tools. ### Can I manage the permissions and scopes for Happy scribe while using Tool Router? Yes, absolutely. You can configure which Happy scribe 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 Happy scribe data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)