How to integrate Altoviz MCP with Autogen

This guide walks you through connecting Altoviz to AutoGen using the Composio tool router. By the end, you'll have a working Altoviz agent that can find customer details by email address, update a client's company information, retrieve current vat rates for invoices through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Altoviz account through Composio's Altoviz MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.

67 Tools

Introduction

This guide walks you through connecting Altoviz to AutoGen using the Composio tool router. By the end, you'll have a working Altoviz agent that can find customer details by email address, update a client's company information, retrieve current vat rates for invoices through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Altoviz account through Composio's Altoviz MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Altoviz 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 Altoviz
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Altoviz tools
  • Run a live chat loop where you ask the agent to perform Altoviz 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 Altoviz MCP server, and what's possible with it?

The Altoviz MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Altoviz account. It provides structured and secure access to your billing, invoicing, and customer management data, so your agent can manage products, find customers, update records, and retrieve financial information on your behalf.

  • Product management and creation: Instruct your agent to create new products, update details, or delete products from your Altoviz catalog with ease.
  • Customer and contact lookup: Effortlessly find customers or contacts by email, enabling quick access to client details and supporting streamlined communication.
  • Financial classification and VAT management: Let your agent fetch available classifications and VAT rates, ensuring accurate tax handling and financial document setup.
  • Unit retrieval for transactions: Retrieve all available measurement units in your system, supporting precise product and invoice management.
  • Customer information updates: Have your agent modify or update customer records, keeping your business data up-to-date without manual intervention.

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 Altoviz 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 Altoviz 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 Altoviz 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 Altoviz session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["altoviz"]
    )
    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 Altoviz 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 Altoviz assistant agent with MCP tools
    agent = AssistantAgent(
        name="altoviz_assistant",
        description="An AI assistant that helps with Altoviz 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 Altoviz 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 Altoviz 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 Altoviz 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 Altoviz 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 Altoviz session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["altoviz"]
    )
    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 Altoviz assistant agent with MCP tools
        agent = AssistantAgent(
            name="altoviz_assistant",
            description="An AI assistant that helps with Altoviz 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 Altoviz 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 Altoviz 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 Altoviz, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Create Contact

Creates a new contact in the Altoviz system.

Create Customer

Creates a new customer in Altoviz.

Create Customer Family

Creates a new customer family in Altoviz for categorizing and organizing customers into groups.

Create Product

Creates a new product in the Altoviz system.

Create Product Family

Tool to create a new product family in Altoviz.

Create Receipt

Creates a new receipt in the Altoviz system to record customer payments.

Create Sale Credit

Creates a new draft credit note (avoir) in Altoviz.

Create Sale Invoice

Creates a new draft sale invoice in Altoviz.

Delete Colleague

Tool to delete a colleague from Altoviz.

Delete Customer

Tool to delete a customer from Altoviz.

Delete Customer Family

Tool to delete a customer family from Altoviz.

Delete Product

This tool allows you to delete an existing product from Altoviz.

Delete Product Family

Tool to delete a product family from Altoviz.

Delete Receipt

Tool to delete a receipt from Altoviz.

Delete Draft Sale Credit

Tool to delete a draft credit from Altoviz.

Delete Sale Invoice

Tool to delete a draft sale invoice from Altoviz.

Delete Sale Quote

Tool to delete a sale quote from Altoviz.

Delete Supplier

Tool to delete a supplier from Altoviz.

Download Purchase Invoice

Tool to download a purchase invoice as a PDF file from Altoviz.

Download Sale Credit PDF

Tool to download a sale credit as a PDF file from Altoviz.

Download Sale Invoice PDF

Tool to download a sale invoice as a PDF file from Altoviz.

Find Contact by Email

This tool allows searching for contacts in Altoviz using an email address.

Find Customer by Email

This tool allows you to find a customer in Altoviz by their email address.

Find Product by Number

Search for a product in Altoviz by its product number/SKU.

Find Product by Number or Internal ID

Tool to find a product in Altoviz by exact product number or internal ID.

Find Receipt by Internal ID

Tool to find receipts in Altoviz by customer internal ID.

Find Sale Credits

Tool to find sale credits in Altoviz.

Find Sale Invoices

Tool to find sale invoices in Altoviz.

Find Sale Quotes

Tool to find sale quotes in Altoviz.

Get Classifications List

This tool retrieves a list of classifications from the Altoviz platform.

Get Colleague by ID

Tool to retrieve a colleague's details from Altoviz by their ID.

Get Contact by ID

Tool to retrieve a contact by its unique ID from Altoviz.

Get Current User

Tool to retrieve the current authenticated user's information from Altoviz.

Get Customer by ID

Tool to retrieve a customer by their ID from Altoviz.

Get Customer by Internal ID

Tool to retrieve a single customer from Altoviz by their internal ID.

Get Customer Contacts

Tool to retrieve all contacts associated with a specific customer in Altoviz.

Get Customer Family

Tool to retrieve a customer family by ID from Altoviz.

Get Product by ID

Tool to retrieve a product by its unique ID in Altoviz.

Get Product Family by ID

Tool to retrieve a specific product family by its ID from Altoviz.

Get Receipt by ID

Tool to retrieve a receipt by its ID from Altoviz.

Get Sale Credit by ID

Tool to retrieve a sale credit by its ID from Altoviz.

Get Sale Invoice by ID

Tool to retrieve a sale invoice by its ID from Altoviz.

Get Settings

Tool to retrieve application settings from Altoviz.

Get Supplier by ID

Tool to retrieve a supplier by their ID from Altoviz.

Get Supplier Contacts

Tool to retrieve all contacts associated with a specific supplier in Altoviz.

Get Units List

This tool retrieves a list of all available units in the Altoviz system.

Get VAT Rates

This tool retrieves a list of all available VAT rates from Altoviz.

List Colleagues

Retrieves a list of colleagues from Altoviz.

List Contacts

Tool to retrieve a list of contacts from Altoviz with optional filtering and pagination.

List Customer Families

Tool to list customer families from Altoviz.

List Customers

Tool to retrieve a paginated list of customers from Altoviz.

List Product Families

Tool to retrieve a list of product families from Altoviz.

List Receipts

Tool to retrieve a list of receipts from Altoviz.

List Sale Credits

Tool to retrieve a list of sale credits from Altoviz.

List Sale Invoices

Tool to retrieve a list of sale invoices from Altoviz.

List Sale Quotes

Tool to retrieve a list of sale quotes from Altoviz.

List Suppliers

Tool to retrieve a paginated list of suppliers from Altoviz.

List Webhooks

Tool to retrieve all configured webhooks from Altoviz.

Register Webhook

Tool to register a new webhook in Altoviz.

Test API Key

Tool to test API key validity and retrieve basic account information.

Unregister Webhook

Tool to unregister a webhook from Altoviz.

Update Colleague Information

Updates an existing colleague's information in Altoviz.

Update Customer Information

Updates an existing customer's information in Altoviz.

Update Receipt

Updates an existing receipt in Altoviz.

Update Sale Credit

Tool to update a draft credit note in Altoviz.

Update Supplier Information

Updates an existing supplier's information in Altoviz.

Upload Purchase Invoice

Tool to upload and create a new purchase invoice from a file (PDF or image format).

FRAMEWORKS

How to build Altoviz MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Altoviz MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Altoviz MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Altoviz MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Altoviz MCP with Claude Cowork

Codex logo

Codex

Use Altoviz MCP with Codex

OpenClaw logo

OpenClaw

Use Altoviz MCP with OpenClaw

Hermes logo

Hermes

Use Altoviz MCP with Hermes

CLI logo

CLI

Use Altoviz MCP with CLI

Google ADK logo

Google ADK

Use Altoviz MCP with Google ADK

LangChain logo

LangChain

Use Altoviz MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Altoviz MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Altoviz MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Altoviz MCP with LlamaIndex

CrewAI logo

CrewAI

Use Altoviz MCP with CrewAI

FAQ

Frequently asked questions

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

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

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