How to integrate Intelliprint MCP with Autogen

This guide walks you through connecting Intelliprint to AutoGen 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 AutoGen 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.

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Intelliprint is a Hybrid Mail API for automated letter printing and mailing. It streamlines business mail with same-day printing, secure authentication, and tracking.

21 Tools

Introduction

This guide walks you through connecting Intelliprint to AutoGen 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 AutoGen 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

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Intelliprint
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Intelliprint tools
  • Run a live chat loop where you ask the agent to perform Intelliprint operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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.

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Intelliprint account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Intelliprint via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Intelliprint connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Intelliprint session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["intelliprint"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Intelliprint tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Intelliprint assistant agent with MCP tools
    agent = AssistantAgent(
        name="intelliprint_assistant",
        description="An AI assistant that helps with Intelliprint operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Intelliprint tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Intelliprint related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Intelliprint tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Intelliprint and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Intelliprint session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["intelliprint"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Intelliprint assistant agent with MCP tools
        agent = AssistantAgent(
            name="intelliprint_assistant",
            description="An AI assistant that helps with Intelliprint operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Intelliprint related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Intelliprint through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Intelliprint, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Cancel or Delete Print Job

Cancel or delete an existing print job by its ID.

Create background

Create a new Background by uploading a PDF file.

Create Mailing List

Create a mailing list to store thousands of recipients and send mail items to all of them at once.

Create Mailing List Recipient

Tool to create a new recipient within a mailing list.

Create Print Job

Create a new print job in Intelliprint by uploading a document.

Delete Background

Tool to delete a background by ID.

Delete Mailing List

Tool to delete a mailing list along with all the recipients in the mailing list.

Delete Mailing List Recipient

Delete a recipient by ID from a specified mailing list.

Get Mailing List

Tool to retrieve a single mailing list by its ID.

Get Mailing List Recipient

Tool to retrieve a single recipient by ID within a specified mailing list.

List Backgrounds

Tool to list backgrounds with optional filtering and pagination.

List Mailing List Recipients

Tool to list all recipients in a mailing list with pagination and sorting options.

List Mailing Lists

Tool to list all available mailing lists with pagination and sorting options.

List Print Jobs

Tool to list print jobs with optional filters and pagination.

List Templates

Tool to list all available templates.

Merge Files

Merges multiple PDF, RTF, or Word documents into a single PDF file.

Retrieve Background

Tool to retrieve a specific Background by ID.

Retrieve Print Job

Tool to retrieve details of a Print Job by its ID.

Update Background

Tool to update an existing Background's name or team.

Update Mailing List

Tool to update a mailing list.

Update Mailing List Recipient

Tool to update an existing recipient in a mailing list by ID.

FRAMEWORKS

How to build Intelliprint MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Intelliprint MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Intelliprint MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Intelliprint MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Intelliprint MCP with Claude Cowork

Codex logo

Codex

Use Intelliprint MCP with Codex

OpenClaw logo

OpenClaw

Use Intelliprint MCP with OpenClaw

Hermes logo

Hermes

Use Intelliprint MCP with Hermes

CLI logo

CLI

Use Intelliprint MCP with CLI

Google ADK logo

Google ADK

Use Intelliprint MCP with Google ADK

LangChain logo

LangChain

Use Intelliprint MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Intelliprint MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Intelliprint MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Intelliprint MCP with LlamaIndex

CrewAI logo

CrewAI

Use Intelliprint MCP with CrewAI

FAQ

Frequently asked questions

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.

Yes, you can. Autogen 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.

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.

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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