# How to integrate Convertapi MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Convertapi MCP with OpenAI Agents SDK",
  "toolkit": "Convertapi",
  "toolkit_slug": "convertapi",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/convertapi/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/convertapi/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:07:32.181Z"
}
```

## Introduction

This guide walks you through connecting Convertapi to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Convertapi agent that can convert pdf invoice to editable docx, turn pdf presentation into jpg images, list all formats convertible to xlsx through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Convertapi account through Composio's Convertapi MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Convertapi with

- [Claude Agent SDK](https://composio.dev/toolkits/convertapi/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/convertapi/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/convertapi/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/convertapi/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/convertapi/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/convertapi/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/convertapi/framework/cli)
- [Google ADK](https://composio.dev/toolkits/convertapi/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/convertapi/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/convertapi/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/convertapi/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/convertapi/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/convertapi/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 Convertapi
- Configure an AI agent that can use Convertapi as a tool
- Run a live chat session where you can ask the agent to perform Convertapi 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 Convertapi MCP server, and what's possible with it?

The Convertapi MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Convertapi account. It provides structured and secure access to file conversion and management tools, so your agent can perform actions like converting documents, uploading files, retrieving converted outputs, and managing temporary file storage on your behalf.
- Multi-format file conversion: Instantly convert documents, images, and spreadsheets between formats like PDF, DOCX, and JPG with just a prompt.
- Bulk and asynchronous processing: Use asynchronous conversion for large files or batch jobs, allowing your agent to handle long-running tasks without delays.
- File upload and remote import: Upload files directly or import them from remote URLs, making it easy to work with files stored anywhere on the web.
- Download and manage uploaded files: Retrieve converted outputs, download original or processed files, or delete unused uploads from temporary storage.
- Format compatibility discovery: Ask your agent to list which formats can be converted to a desired output, ensuring smooth workflow automation.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CONVERTAPI_ASYNC_CONVERT` | Async Convert | Tool to perform an asynchronous file conversion. Use when converting large or long-running files to avoid client timeouts. |
| `CONVERTAPI_ASYNC_DELETE_JOB` | Delete Async Job | Tool to delete a previously created asynchronous conversion job. Use when the job is no longer required to free server resources. |
| `CONVERTAPI_CHECK_CONVERSION_SUPPORT` | Check Conversion Support | Tool to check whether a specific file format conversion is supported by ConvertAPI. Use this before attempting conversions to verify compatibility and avoid errors. |
| `CONVERTAPI_CONVERT_DELETE_UPLOADED_FILE` | Delete Uploaded File | Tool to delete a previously uploaded file. Use when the file is no longer needed and should be removed from temporary storage. |
| `CONVERTAPI_CONVERT_GET_SUPPORTED_INPUT_FORMATS_FOR_OUTPUT` | Get Supported Input Formats For Output | Retrieves a complete list of input file formats that ConvertAPI can convert to a specified output format. Use this to check which source formats are compatible with your desired target format before initiating conversions. |
| `CONVERTAPI_CONVERT_PDF_TO_DOCX` | Convert PDF to DOCX | Tool to convert PDF files to DOCX format. Use when you need editable Word documents from PDFs. Provide PDF content or URL and receive DOCX file metadata and download links. |
| `CONVERTAPI_CONVERT_PDF_TO_JPG_AND_STORE` | Convert PDF to JPG and Store | Tool to convert a PDF to JPG and store the result on the server. Use when individual JPG pages are needed for further workflow steps. |
| `CONVERTAPI_CONVERT_UPLOAD_FILE_FROM_URL` | Upload File From URL | Tool to upload a file directly from a remote URL. Use when you need to import files hosted on a remote server without downloading locally. |
| `CONVERTAPI_DOWNLOAD_FILE` | Download File | Tool to download a converted or uploaded file from ConvertAPI server using its FileId. Use when you need to retrieve a previously converted or uploaded file. Set download='inline' to display in browser. |
| `CONVERTAPI_DOWNLOAD_UPLOADED_FILE` | Download Uploaded File | Tool to download a previously uploaded file by its FileId. Use when you need to retrieve the original file data stored temporarily on the server (expires after 3 hours). Example prompt: "Download uploaded file with ID 25811safe8e61dd3f51ef00ee5f58b92" |
| `CONVERTAPI_GET_CONVERTER_SPEC` | Get Converter Spec | Tool to retrieve the OpenAPI specification for a specific file conversion endpoint. Use when you need detailed parameter schemas and documentation for converting from one format to another. |
| `CONVERTAPI_GET_FILE_INFO` | Get File Info | Tool to get metadata information about a stored file without downloading it. Use when you need to check file properties like name, size, or type before downloading. |
| `CONVERTAPI_GET_OPENAPI_SCHEMA` | Get OpenAPI Schema | Tool to retrieve the complete OpenAPI 3.0 specification for all ConvertAPI endpoints. Use when you need comprehensive API documentation for code generation, automated testing, or understanding available conversion operations and their parameters. |
| `CONVERTAPI_GET_SUPPORTED_OUTPUT_FORMATS_FOR_INPUT` | Get Supported Output Formats For Input | Tool to list all output formats a given input format can be converted into. Use when you need to dynamically retrieve conversion options for a specific input format. |
| `CONVERTAPI_GET_USER` | Get User Information | Tool to get authenticated user account information including balance, conversions consumed, and remaining seconds. Use when you need to check account status or conversion limits. |
| `CONVERTAPI_GET_USER_STATISTICS` | Get User Statistics | Tool to retrieve usage statistics for the authenticated user account. Use when you need to analyze conversions performed during a specific date range. |
| `CONVERTAPI_LIST_CONVERTERS` | List All Converters | Tool to retrieve a comprehensive list of all available file converters in ConvertAPI. Use when you need to discover all supported conversion types, check which formats can be converted, or view available parameters for each converter. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Convertapi MCP server is an implementation of the Model Context Protocol that connects your AI agent to Convertapi. It provides structured and secure access so your agent can perform Convertapi 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 Convertapi 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 Convertapi.
```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 convertapi.
- The router checks the user's Convertapi connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Convertapi.
- This approach keeps things lightweight and lets the agent request Convertapi tools only when needed during the conversation.
```python
# Create a Convertapi Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["convertapi"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Convertapi
const session = await composio.create(userId as string, {
  toolkits: ['convertapi'],
});
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 Convertapi. "
        "Help users perform Convertapi 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 Convertapi. Help users perform Convertapi 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=["convertapi"]
)
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 Convertapi. "
        "Help users perform Convertapi 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: ['convertapi'],
  });
  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 Convertapi. Help users perform Convertapi 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 Convertapi MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Convertapi.
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 Convertapi MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/convertapi/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/convertapi/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/convertapi/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/convertapi/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/convertapi/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/convertapi/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/convertapi/framework/cli)
- [Google ADK](https://composio.dev/toolkits/convertapi/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/convertapi/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/convertapi/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/convertapi/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/convertapi/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/convertapi/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.
- [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.
- [Docmosis](https://composio.dev/toolkits/docmosis) - Docmosis generates PDF and Word documents from user-defined templates. It's perfect for merging data fields to quickly produce reports, invoices, and business letters.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Convertapi MCP?

With a standalone Convertapi MCP server, the agents and LLMs can only access a fixed set of Convertapi tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Convertapi 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 Convertapi tools.

### Can I manage the permissions and scopes for Convertapi while using Tool Router?

Yes, absolutely. You can configure which Convertapi 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 Convertapi data and credentials are handled as safely as possible.

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