# How to integrate Pdfmonkey MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Pdfmonkey MCP with OpenAI Agents SDK",
  "toolkit": "Pdfmonkey",
  "toolkit_slug": "pdfmonkey",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/pdfmonkey/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/pdfmonkey/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:21:42.609Z"
}
```

## Introduction

This guide walks you through connecting Pdfmonkey to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Pdfmonkey agent that can generate pdf invoices from your template, download latest generated contract pdf file, create a new proposal template for sales through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Pdfmonkey account through Composio's Pdfmonkey MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Pdfmonkey with

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

The Pdfmonkey MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, or others directly to your Pdfmonkey account. It provides structured and secure access to your PDF automation workflows, so your agent can generate documents from templates, download PDFs, manage templates, and retrieve document details on your behalf.
- Automated PDF generation: Instantly create new PDF documents from pre-built templates or custom data payloads, either asynchronously or waiting for immediate results.
- Template management and updates: Let your agent create, fetch, or delete document templates to keep your PDF generation process organized and up to date.
- Document retrieval and monitoring: Fetch the full details of any generated document, including metadata, logs, and download links for seamless workflow integration.
- Secure PDF file download: Easily obtain presigned URLs to access or share generated PDF files, with automatic handling of expiring links.
- Account and usage insights: Retrieve authenticated user information, such as quota, plan, and locale, to help monitor and manage your Pdfmonkey usage directly from your agent.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PDFMONKEY_CREATE_DOCUMENT` | Create Document | Tool to create a Document. Use when you need to instantiate a PDF from a template; set status='pending' to queue immediate generation. Ensure valid `document_template_id` is provided. |
| `PDFMONKEY_CREATE_DOCUMENT_SYNC` | Create Document Sync | Tool to create a document and wait for generation to finish. Use when immediate PDF is needed. |
| `PDFMONKEY_CREATE_TEMPLATE` | Create Template | Creates a new PDF document template in PDFMonkey. Use this to define reusable templates with HTML/Liquid content and CSS styles for generating PDF documents. Typical workflow: Create template → Preview with draft content → Publish → Generate documents. The template supports Liquid templating syntax (e.g., {{variable_name}}) for dynamic content injection. Only 'identifier' is required; all other fields have sensible defaults. |
| `PDFMONKEY_DELETE_DOCUMENT` | Delete Document | Tool to delete a Document by its ID. Use when you need to permanently remove a document after confirming its ID. Returns 204 No Content on success. |
| `PDFMONKEY_DELETE_TEMPLATE` | Delete PDFMonkey Document Template | Tool to delete a document template by ID. Use when you need to remove obsolete templates after validation. |
| `PDFMONKEY_DOWNLOAD_DOCUMENT_FILE` | Download Document File | Tool to download a generated PDF file via a presigned URL. Use after obtaining a valid download_url from the Document details endpoint. Verify document status is 'success' (not 'draft' or 'pending') via PDFMONKEY_GET_DOCUMENT before downloading to avoid incomplete files. The URL expires after 1 hour; fetch a new URL upon expiry (403 Forbidden). |
| `PDFMONKEY_GET_CURRENT_USER` | Get Current User | Tool to retrieve details about the currently authenticated user. Use when you need account info (quota, plan, email, locale) after authentication. |
| `PDFMONKEY_GET_DOCUMENT` | Get Document | Tool to fetch a Document by its ID. Returns the full document record including payload, meta, logs, and download URL. Note: download_url is time-limited; if a download attempt fails, call GetDocument again to obtain a fresh URL. Check the status field for a finalized (non-draft) state before passing the record to downstream processing tools. |
| `PDFMONKEY_GET_DOCUMENT_CARD` | Get DocumentCard | Tool to fetch a DocumentCard by ID. Use when you have a DocumentCard ID and need its download URLs, status, and metadata. Use after generating or updating a DocumentCard. |
| `PDFMONKEY_GET_TEMPLATE` | Get Template by ID | Tool to fetch a Document Template by ID. Use when you need the template's content, styles, settings, and preview URL. |
| `PDFMONKEY_LIST_DOCUMENT_CARDS` | List DocumentCards | Tool to list DocumentCards. Use when you need to retrieve multiple DocumentCards with optional pagination and filtering by template, status, workspace, or update time. |
| `PDFMONKEY_LIST_PDF_ENGINES` | List PDF Engines | Lists all available PDF rendering engines in PDFMonkey. Returns engine IDs, version names, numeric versions, and deprecation status. Use this to select a PDF engine when creating templates or generating documents. Recommended: Use the latest non-deprecated engine (e.g., v5 or highest version). |
| `PDFMONKEY_LIST_TEMPLATES` | List Template Cards | List all document template cards for a workspace. Use this action to: - Retrieve all templates available in a workspace - Filter templates by folder (or get only root folder templates with folders='none') - Paginate through large template lists - Sort templates by identifier, creation date, or last update date Returns template cards with metadata including IDs, names, auth tokens, and timestamps. |
| `PDFMONKEY_LIST_WORKSPACES` | List Workspaces | Tool to list workspaces (applications). Use when you need all available workspaces for the authenticated user after login. |
| `PDFMONKEY_PREVIEW_TEMPLATE` | Preview Template | Fetches the template preview viewer page from PDFMonkey's preview_url. Returns an HTML viewer page that displays the rendered template draft. Use this after obtaining a template's preview_url via Get Template or List Templates. |
| `PDFMONKEY_UPDATE_DOCUMENT` | Update Document | Updates an existing PDFMonkey document's payload, metadata, template, or status. Common use cases: - Modify document data (payload) before generation - Change the template used for the document - Add or update custom metadata - Trigger PDF regeneration by setting status to 'pending' Note: To regenerate a document with updated data, update the payload and set status='pending'. |
| `PDFMONKEY_UPDATE_TEMPLATE` | Update Document Template | Tool to update a document template’s properties. Use when you need to modify an existing template’s content, styles, settings, engine, folder, or TTL. |
| `PDFMONKEY_VIEW_PUBLIC_SHARE_LINK` | View Public Share Link | Tool to download a publicly shared PDF via its permanent share link. Use when the document's public_share_link is enabled to fetch the PDF file directly. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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

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

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

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[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)