# How to integrate Altoviz MCP with Pydantic AI ```json { "title": "How to integrate Altoviz MCP with Pydantic AI", "toolkit": "Altoviz", "toolkit_slug": "altoviz", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/altoviz/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/altoviz/framework/pydantic-ai.md", "updated_at": "2026-05-06T08:00:13.619Z" } ``` ## Introduction This guide walks you through connecting Altoviz to Pydantic 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 Pydantic 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 - [OpenAI Agents SDK](https://composio.dev/toolkits/altoviz/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/altoviz/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/altoviz/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/altoviz/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/altoviz/framework/codex) - [OpenClaw](https://composio.dev/toolkits/altoviz/framework/openclaw) - [Hermes](https://composio.dev/toolkits/altoviz/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/altoviz/framework/cli) - [Google ADK](https://composio.dev/toolkits/altoviz/framework/google-adk) - [LangChain](https://composio.dev/toolkits/altoviz/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/altoviz/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/altoviz/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/altoviz/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/altoviz/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Altoviz - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Altoviz workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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 | Tool slug | Name | Description | |---|---|---| | `ALTOVIZ_CREATE_PRODUCT` | Create Product | Creates a new product in the altoviz system. this tool allows for the independent creation of a product with all necessary details. | | `ALTOVIZ_DELETE_PRODUCT` | Delete Product | This tool allows you to delete an existing product from altoviz. the action permanently removes the product from the system. | | `ALTOVIZ_FIND_CONTACT` | Find Contact by Email | This tool allows searching for contacts in altoviz using an email address. the action is independently executable and returns contact details if found. | | `ALTOVIZ_FIND_CUSTOMER` | Find Customer by Email | This tool allows you to find a customer in altoviz by their email address. this is a standalone action that doesn't require any resource ids or dependencies on other tools. | | `ALTOVIZ_FIND_PRODUCT` | Find Product by Number | This tool allows users to find products in altoviz using the product number. it retrieves detailed product information including id, name, number, description, price, and other relevant metadata. it is a critical operation for product management in altoviz. | | `ALTOVIZ_GET_CLASSIFICATIONS` | Get Classifications List | This tool retrieves a list of classifications from the altoviz platform. classifications are essential for producing accounting registers from user-created invoices. it can fetch all classifications or filter them by type. | | `ALTOVIZ_GET_UNITS` | Get Units List | This tool retrieves a list of all available units in the altoviz system. units are used for product measurements and quantity specifications in various transactions. | | `ALTOVIZ_GET_VATS` | Get VAT Rates | This tool retrieves a list of all available vat rates from altoviz. it's essential for creating and managing invoices and quotes where vat calculations are required. it supports retrieving vat rates, validating them for different regions, and ensuring correct tax calculations in financial documents. | | `ALTOVIZ_UPDATE_CUSTOMER` | Update Customer Information | This tool updates an existing customer's information in altoviz. it enables modification of various customer details including contact information, company details, and personal information. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Altoviz MCP server is an implementation of the Model Context Protocol that connects your AI agent to Altoviz. It provides structured and secure access so your agent can perform Altoviz 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: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 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). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Altoviz - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Altoviz - MCPServerStreamableHTTP connects to the Altoviz MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Altoviz tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Altoviz composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["altoviz"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Altoviz endpoint - The agent uses GPT-5 to interpret user commands and perform Altoviz operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent altoviz_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[altoviz_mcp], instructions=( "You are a Altoviz assistant. Use Altoviz tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Altoviz API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Altoviz.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Altoviz composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["altoviz"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent altoviz_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[altoviz_mcp], instructions=( "You are a Altoviz assistant. Use Altoviz tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Altoviz.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Altoviz through Composio's Tool Router. With this setup, your agent can perform real Altoviz actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Altoviz for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build Altoviz MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/altoviz/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/altoviz/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/altoviz/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/altoviz/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/altoviz/framework/codex) - [OpenClaw](https://composio.dev/toolkits/altoviz/framework/openclaw) - [Hermes](https://composio.dev/toolkits/altoviz/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/altoviz/framework/cli) - [Google ADK](https://composio.dev/toolkits/altoviz/framework/google-adk) - [LangChain](https://composio.dev/toolkits/altoviz/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/altoviz/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/altoviz/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/altoviz/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/altoviz/framework/crew-ai) ## Related Toolkits - [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide. - [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions. - [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly. - [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth. - [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone. - [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place. - [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations. - [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications. - [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities. - [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation. - [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place. - [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics. - [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses. - [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly. - [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place. - [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows. - [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free. - [Flutterwave](https://composio.dev/toolkits/flutterwave) - Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations. ## Frequently Asked Questions ### 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 Pydantic AI? Yes, you can. Pydantic 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. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)