How to integrate Convertapi MCP with OpenAI Agents SDK

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.

Convertapi logoConvertapi
Api Key

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.

17 Tools

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

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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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
3

Install dependencies

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

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

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';
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.
6

Set up the Composio instance

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(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

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

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.
8

Configure the agent

// 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',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Convertapi and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Convertapi operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// 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);
});
What's happening:
  • The program prints a session URL that you visit to authorize Convertapi.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Convertapi and OpenAI Agents SDK:

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.
TOOLS

Supported Tools

Every Convertapi action and event your agent gets out of the box.

Async Convert

Tool to perform an asynchronous file conversion.

Delete Async Job

Tool to delete a previously created asynchronous conversion job.

Check Conversion Support

Tool to check whether a specific file format conversion is supported by ConvertAPI.

Delete Uploaded File

Tool to delete a previously uploaded file.

Get Supported Input Formats For Output

Retrieves a complete list of input file formats that ConvertAPI can convert to a specified output format.

Convert PDF to DOCX

Tool to convert PDF files to DOCX format.

Convert PDF to JPG and Store

Tool to convert a PDF to JPG and store the result on the server.

Upload File From URL

Tool to upload a file directly from a remote URL.

Download File

Tool to download a converted or uploaded file from ConvertAPI server using its FileId.

Download Uploaded File

Tool to download a previously uploaded file by its FileId.

Get Converter Spec

Tool to retrieve the OpenAPI specification for a specific file conversion endpoint.

Get File Info

Tool to get metadata information about a stored file without downloading it.

Get OpenAPI Schema

Tool to retrieve the complete OpenAPI 3.

Get Supported Output Formats For Input

Tool to list all output formats a given input format can be converted into.

Get User Information

Tool to get authenticated user account information including balance, conversions consumed, and remaining seconds.

Get User Statistics

Tool to retrieve usage statistics for the authenticated user account.

List All Converters

Tool to retrieve a comprehensive list of all available file converters in ConvertAPI.

FAQ

Frequently asked questions

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.

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.

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.

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.

Start with Convertapi.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Convertapi tool your agent needs.Free to start.

Start building