# How to integrate Intelliprint MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Intelliprint MCP with OpenAI Agents SDK",
  "toolkit": "Intelliprint",
  "toolkit_slug": "intelliprint",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/intelliprint/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/intelliprint/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:16:04.022Z"
}
```

## Introduction

This guide walks you through connecting Intelliprint to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Intelliprint agent that can create and mail a letter using template, list all print jobs from last week, cancel a pending print job by id through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Intelliprint account through Composio's Intelliprint MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Intelliprint with

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

The Intelliprint MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Intelliprint account. It provides structured and secure access to your hybrid mail and print workflow, so your agent can automate print jobs, manage backgrounds and templates, merge documents, and track mailing activities on your behalf.
- Automated print job creation and management: Instantly submit new print jobs, confirm submissions, or cancel and delete print jobs with full tracking and status updates.
- Background and template organization: Create, update, retrieve, and list print backgrounds and templates to keep your mailouts branded and personalized.
- File merging for streamlined print workflows: Merge multiple files into a single document before sending them to print, optimizing document preparation.
- Print job tracking and detailed retrieval: Retrieve comprehensive details of any print job by its ID, allowing for real-time status checks and reporting.
- Bulk management and filtering: List all backgrounds, templates, or print jobs with advanced filtering and pagination to efficiently handle high-volume mailing operations.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `INTELLIPRINT_CANCEL_DELETE_PRINT_JOB` | Cancel or Delete Print Job | Cancel or delete an existing print job by its ID. Unconfirmed jobs are deleted immediately; confirmed jobs (not yet shipped) are cancelled with a refund. Important: Testmode print jobs cannot be cancelled - only live print jobs support cancellation. |
| `INTELLIPRINT_CREATE_BACKGROUND` | Create background | Create a new Background by uploading a PDF file. Backgrounds are used as base layers for print jobs (e.g., letterheads, invoice templates). Use this tool when you need to upload a new background PDF that can be applied to print jobs. |
| `INTELLIPRINT_CREATE_MAILING_LIST` | Create Mailing List | Create a mailing list to store thousands of recipients and send mail items to all of them at once. Use this tool when you need to create a new mailing list for bulk mailings. Recipients can be added in bulk during creation or added later. Mailing lists support dynamic fields (variables) for personalizing templates per recipient. |
| `INTELLIPRINT_CREATE_MAILING_LIST_RECIPIENT` | Create Mailing List Recipient | Tool to create a new recipient within a mailing list. Use when you need to add an individual contact who will receive mail campaigns. Recipients must have at minimum an address line; name, postcode, and country are optional. |
| `INTELLIPRINT_CREATE_PRINT_JOB` | Create Print Job | Create a new print job in Intelliprint by uploading a document. Use this tool to submit documents for postal mailing. Jobs can be created as drafts (confirmed=False) for review/editing, or confirmed immediately (confirmed=True) for printing and dispatch. Test mode (testmode=True) allows testing without charges or actual mailing. |
| `INTELLIPRINT_DELETE_BACKGROUND` | Delete Background | Tool to delete a background by ID. Use when you need to remove a background that is no longer needed. Fails if any print job has used this background in the last 90 days. |
| `INTELLIPRINT_DELETE_MAILING_LIST` | Delete Mailing List | Tool to delete a mailing list along with all the recipients in the mailing list. Use when you need to remove a mailing list permanently. |
| `INTELLIPRINT_DELETE_MAILING_LIST_RECIPIENT` | Delete Mailing List Recipient | Delete a recipient by ID from a specified mailing list. Use when you need to remove a recipient from a mailing list. |
| `INTELLIPRINT_GET_MAILING_LIST` | Get Mailing List | Tool to retrieve a single mailing list by its ID. Use when you need details about a specific mailing list including recipients count, address validation status, and dynamic variables. |
| `INTELLIPRINT_GET_MAILING_LIST_RECIPIENT` | Get Mailing List Recipient | Tool to retrieve a single recipient by ID within a specified mailing list. Use when you need details about a specific mailing list recipient. |
| `INTELLIPRINT_LIST_BACKGROUNDS` | List Backgrounds | Tool to list backgrounds with optional filtering and pagination. Use after uploading or managing backgrounds to retrieve current entries. Example: 'List backgrounds for team=team_1234 with limit=50 and skip=10'. |
| `INTELLIPRINT_LIST_MAILING_LIST_RECIPIENTS` | List Mailing List Recipients | Tool to list all recipients in a mailing list with pagination and sorting options. Use when you need to retrieve recipients from a specific mailing list. |
| `INTELLIPRINT_LIST_MAILING_LISTS` | List Mailing Lists | Tool to list all available mailing lists with pagination and sorting options. Use when you need to retrieve mailing lists for print jobs or to view existing lists. |
| `INTELLIPRINT_LIST_PRINT_JOBS` | List Print Jobs | Tool to list print jobs with optional filters and pagination. Use after confirming API key. |
| `INTELLIPRINT_LIST_TEMPLATES` | List Templates | Tool to list all available templates. Use after authenticating API key to browse available templates. |
| `INTELLIPRINT_MERGE_FILES` | Merge Files | Merges multiple PDF, RTF, or Word documents into a single PDF file. Use this tool when you need to: - Combine multiple PDF files into one - Merge Word documents (.doc, .docx) into a single PDF - Combine RTF files with PDFs or Word documents - Create a unified document from separate files The merged output is always a PDF file, regardless of input file types. Files are merged in the order they are provided in the request. A download link is returned that is valid for approximately 1 hour. |
| `INTELLIPRINT_RETRIEVE_BACKGROUND` | Retrieve Background | Tool to retrieve a specific Background by ID. Use when you need background details before further processing. |
| `INTELLIPRINT_RETRIEVE_PRINT_JOB` | Retrieve Print Job | Tool to retrieve details of a Print Job by its ID. Use when you have a valid print_id and need full job specifications. |
| `INTELLIPRINT_UPDATE_BACKGROUND` | Update Background | Tool to update an existing Background's name or team. Use when you need to change a background after creation. Example: 'Update background bg_123abc to new name'. |
| `INTELLIPRINT_UPDATE_MAILING_LIST` | Update Mailing List | Tool to update a mailing list. Use when you need to update the name, add or replace recipients in bulk, or configure address validation. Can add recipients to existing list or replace all recipients by setting delete_old_recipients to True. |
| `INTELLIPRINT_UPDATE_MAILING_LIST_RECIPIENT` | Update Mailing List Recipient | Tool to update an existing recipient in a mailing list by ID. Use when you need to modify recipient address details or custom variables for personalized mailings. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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

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

Yes, absolutely. You can configure which Intelliprint 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 Intelliprint 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)