How to integrate Altoviz MCP with Mastra AI

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Introduction

This guide walks you through connecting Altoviz to Mastra AI 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 Mastra AI 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

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Altoviz tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Altoviz tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Altoviz agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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.

Supported Tools & Triggers

Tools
Create ContactCreates a new contact in the Altoviz system.
Create CustomerCreates a new customer in Altoviz.
Create Customer FamilyCreates a new customer family in Altoviz for categorizing and organizing customers into groups.
Create ProductCreates a new product in the Altoviz system.
Create Product FamilyTool to create a new product family in Altoviz.
Create ReceiptCreates a new receipt in the Altoviz system to record customer payments.
Create Sale CreditCreates a new draft credit note (avoir) in Altoviz.
Create Sale InvoiceCreates a new draft sale invoice in Altoviz.
Delete ColleagueTool to delete a colleague from Altoviz.
Delete CustomerTool to delete a customer from Altoviz.
Delete Customer FamilyTool to delete a customer family from Altoviz.
Delete ProductThis tool allows you to delete an existing product from Altoviz.
Delete Product FamilyTool to delete a product family from Altoviz.
Delete ReceiptTool to delete a receipt from Altoviz.
Delete Draft Sale CreditTool to delete a draft credit from Altoviz.
Delete Sale InvoiceTool to delete a draft sale invoice from Altoviz.
Delete Sale QuoteTool to delete a sale quote from Altoviz.
Delete SupplierTool to delete a supplier from Altoviz.
Download Purchase InvoiceTool to download a purchase invoice as a PDF file from Altoviz.
Download Sale Credit PDFTool to download a sale credit as a PDF file from Altoviz.
Download Sale Invoice PDFTool to download a sale invoice as a PDF file from Altoviz.
Find Contact by EmailThis tool allows searching for contacts in Altoviz using an email address.
Find Customer by EmailThis tool allows you to find a customer in Altoviz by their email address.
Find Product by NumberSearch for a product in Altoviz by its product number/SKU.
Find Product by Number or Internal IDTool to find a product in Altoviz by exact product number or internal ID.
Find Receipt by Internal IDTool to find receipts in Altoviz by customer internal ID.
Find Sale CreditsTool to find sale credits in Altoviz.
Find Sale InvoicesTool to find sale invoices in Altoviz.
Find Sale QuotesTool to find sale quotes in Altoviz.
Get Classifications ListThis tool retrieves a list of classifications from the Altoviz platform.
Get Colleague by IDTool to retrieve a colleague's details from Altoviz by their ID.
Get Contact by IDTool to retrieve a contact by its unique ID from Altoviz.
Get Current UserTool to retrieve the current authenticated user's information from Altoviz.
Get Customer by IDTool to retrieve a customer by their ID from Altoviz.
Get Customer by Internal IDTool to retrieve a single customer from Altoviz by their internal ID.
Get Customer ContactsTool to retrieve all contacts associated with a specific customer in Altoviz.
Get Customer FamilyTool to retrieve a customer family by ID from Altoviz.
Get Product by IDTool to retrieve a product by its unique ID in Altoviz.
Get Product Family by IDTool to retrieve a specific product family by its ID from Altoviz.
Get Receipt by IDTool to retrieve a receipt by its ID from Altoviz.
Get Sale Credit by IDTool to retrieve a sale credit by its ID from Altoviz.
Get Sale Invoice by IDTool to retrieve a sale invoice by its ID from Altoviz.
Get SettingsTool to retrieve application settings from Altoviz.
Get Supplier by IDTool to retrieve a supplier by their ID from Altoviz.
Get Supplier ContactsTool to retrieve all contacts associated with a specific supplier in Altoviz.
Get Units ListThis tool retrieves a list of all available units in the Altoviz system.
Get VAT RatesThis tool retrieves a list of all available VAT rates from Altoviz.
List ColleaguesRetrieves a list of colleagues from Altoviz.
List ContactsTool to retrieve a list of contacts from Altoviz with optional filtering and pagination.
List Customer FamiliesTool to list customer families from Altoviz.
List CustomersTool to retrieve a paginated list of customers from Altoviz.
List Product FamiliesTool to retrieve a list of product families from Altoviz.
List ReceiptsTool to retrieve a list of receipts from Altoviz.
List Sale CreditsTool to retrieve a list of sale credits from Altoviz.
List Sale InvoicesTool to retrieve a list of sale invoices from Altoviz.
List Sale QuotesTool to retrieve a list of sale quotes from Altoviz.
List SuppliersTool to retrieve a paginated list of suppliers from Altoviz.
List WebhooksTool to retrieve all configured webhooks from Altoviz.
Register WebhookTool to register a new webhook in Altoviz.
Test API KeyTool to test API key validity and retrieve basic account information.
Unregister WebhookTool to unregister a webhook from Altoviz.
Update Colleague InformationUpdates an existing colleague's information in Altoviz.
Update Customer InformationUpdates an existing customer's information in Altoviz.
Update ReceiptUpdates an existing receipt in Altoviz.
Update Sale CreditTool to update a draft credit note in Altoviz.
Update Supplier InformationUpdates an existing supplier's information in Altoviz.
Upload Purchase InvoiceTool to upload and create a new purchase invoice from a file (PDF or image format).

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

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Altoviz through MCP.

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session

Create a Tool Router session for Altoviz

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["altoviz"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Altoviz MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "altoviz" for Altoviz access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Altoviz toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "altoviz-mastra-agent",
    instructions: "You are an AI agent with Altoviz tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        altoviz: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Altoviz toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Altoviz and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["altoviz"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      altoviz: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "altoviz-mastra-agent",
    instructions: "You are an AI agent with Altoviz tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { altoviz: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Altoviz through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows

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FAQ

What are the differences in Tool Router MCP and Altoviz MCP?

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.

Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra AI 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.

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

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.

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 Altoviz data and credentials are handled as safely as possible.

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