# How to integrate Happy scribe MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Happy scribe MCP with OpenAI Agents SDK",
  "toolkit": "Happy scribe",
  "toolkit_slug": "happy_scribe",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/happy_scribe/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/happy_scribe/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:14:37.015Z"
}
```

## Introduction

This guide walks you through connecting Happy scribe to the OpenAI Agents SDK 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 OpenAI Agents SDK 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

- [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)
- [CrewAI](https://composio.dev/toolkits/happy_scribe/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Happy scribe
- Configure an AI agent that can use Happy scribe as a tool
- Run a live chat session where you can ask the agent to perform Happy scribe operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Happy scribe project
- Some knowledge of Python or 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'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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Happy scribe.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only happy_scribe.
- The router checks the user's Happy scribe connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Happy scribe.
- This approach keeps things lightweight and lets the agent request Happy scribe tools only when needed during the conversation.
```python
# Create a Happy scribe Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["happy_scribe"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Happy scribe
const session = await composio.create(userId as string, {
  toolkits: ['happy_scribe'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Happy scribe. "
        "Help users perform Happy scribe operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Happy scribe. Help users perform Happy scribe operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

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

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

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

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["happy_scribe"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Happy scribe. "
        "Help users perform Happy scribe operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['happy_scribe'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Happy scribe. Help users perform Happy scribe operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

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

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

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

## Conclusion

This was a starter code for integrating Happy scribe MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Happy scribe.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Happy scribe MCP Agent with another framework

- [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)
- [CrewAI](https://composio.dev/toolkits/happy_scribe/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 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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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) · [Composio docs](https://docs.composio.dev/llms.txt)