# How to integrate Text to pdf MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Text to pdf MCP with OpenAI Agents SDK",
  "toolkit": "Text to pdf",
  "toolkit_slug": "text_to_pdf",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/text_to_pdf/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/text_to_pdf/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:28:13.123Z"
}
```

## Introduction

This guide walks you through connecting Text to pdf to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Text to pdf agent that can convert meeting notes into a pdf file, turn a chat conversation into a pdf report, create a pdf from a project summary text through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Text to pdf account through Composio's Text to pdf MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Text to pdf with

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

The Text to pdf MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Text to pdf toolkit. It provides structured and secure access to high-quality PDF conversion workflows, so your agent can instantly convert plain text, formatted notes, or generated content into downloadable PDFs on your behalf.
- Instant text-to-PDF conversion: Let your agent transform any block of text into a well-formatted, ready-to-share PDF document in seconds.
- Automated report and summary generation: Have your agent compile summaries, meeting notes, or transcripts into polished PDFs for easy distribution or archiving.
- Create printable resources from AI output: Effortlessly generate printable guides, checklists, or instructions from AI-generated text to PDF format.
- Batch document creation: Ask your agent to convert multiple text inputs into separate PDF files, streamlining repetitive documentation tasks.
- On-demand documentation packaging: Quickly turn chatbot or assistant responses into downloadable PDFs for sharing or record-keeping.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TEXT_TO_PDF_CONVERT_TEXT_TO_PDF` | Convert Text to PDF | Convert plain text or Markdown content into a downloadable PDF document. Supports Unicode characters, special symbols, and Markdown formatting including headers, lists, code blocks, links, and emphasis. Images require publicly accessible URLs to render. Response PDF URL is at `data.file.s3url`; also returns `data.file.name` and `data.file.mimetype`. |
| `TEXT_TO_PDF_DELETE_ASYNC_JOB` | Delete Async Job | Tool to delete an asynchronous conversion job. Use when a job is no longer required to free up server resources. Jobs are automatically deleted after 3 hours if not manually removed. |
| `TEXT_TO_PDF_DELETE_FILE` | Delete File | Tool to delete a file from ConvertAPI server. Use when a file is no longer needed and should be removed from temporary storage. |
| `TEXT_TO_PDF_DOWNLOAD_FILE` | Download File | Download a file from ConvertAPI server using its unique File ID. Use this after converting or uploading files to retrieve the result. The file must exist on the server and not be expired. |
| `TEXT_TO_PDF_START_ASYNC_CONVERSION` | Start Async Conversion | Start an asynchronous file conversion job using ConvertAPI. Returns a JobId that can be used to poll for conversion results. Optionally supports WebHook callback for push notification when conversion completes. |
| `TEXT_TO_PDF_UPLOAD_FILE` | Upload File to ConvertAPI | Upload a file to ConvertAPI server for subsequent conversions. Supports direct file upload or remote URL upload. Files are stored securely for up to 3 hours and can be referenced by File ID in conversion requests. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

- [Claude Agent SDK](https://composio.dev/toolkits/text_to_pdf/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/text_to_pdf/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/text_to_pdf/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/text_to_pdf/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/text_to_pdf/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/text_to_pdf/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/text_to_pdf/framework/cli)
- [Google ADK](https://composio.dev/toolkits/text_to_pdf/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/text_to_pdf/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/text_to_pdf/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/text_to_pdf/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/text_to_pdf/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/text_to_pdf/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 Text to pdf MCP?

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

### Can I manage the permissions and scopes for Text to pdf while using Tool Router?

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

---
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