# How to integrate Addressfinder MCP with Pydantic AI ```json { "title": "How to integrate Addressfinder MCP with Pydantic AI", "toolkit": "Addressfinder", "toolkit_slug": "addressfinder", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/addressfinder/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/addressfinder/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:21:55.064Z" } ``` ## Introduction This guide walks you through connecting Addressfinder to Pydantic AI using the Composio tool router. By the end, you'll have a working Addressfinder agent that can verify if 221b baker st is a real address, enrich contact with validated phone number, check if john@example.com is deliverable through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Addressfinder account through Composio's Addressfinder MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Addressfinder with - [OpenAI Agents SDK](https://composio.dev/toolkits/addressfinder/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/addressfinder/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/addressfinder/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/addressfinder/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/addressfinder/framework/codex) - [OpenClaw](https://composio.dev/toolkits/addressfinder/framework/openclaw) - [Hermes](https://composio.dev/toolkits/addressfinder/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/addressfinder/framework/cli) - [Google ADK](https://composio.dev/toolkits/addressfinder/framework/google-adk) - [LangChain](https://composio.dev/toolkits/addressfinder/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/addressfinder/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/addressfinder/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/addressfinder/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/addressfinder/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 Addressfinder - 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 Addressfinder 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 Addressfinder MCP server, and what's possible with it? The Addressfinder MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Addressfinder account. It provides structured and secure access so your agent can perform Addressfinder operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ADDRESSFINDER_AU_ADDRESS_AUTOCOMPLETE_API` | AU Address Autocomplete | Tool to perform interactive search of Australian addresses from the AddressFinder database. Use when you need to search for and autocomplete Australian addresses based on partial input. | | `ADDRESSFINDER_AU_ADDRESS_METADATA` | Get AU Address Metadata | Tool to retrieve full metadata for an Australian address selected from the Address Autocomplete API. Use when you need complete address details including GPS coordinates and census data. | | `ADDRESSFINDER_AU_ADDRESS_VERIFICATION` | AU Address Verification | Tool to verify Australian addresses against PAF/GNAF databases. Use when you need to validate or standardize an Australian address and retrieve associated metadata like coordinates, statistical identifiers, and GNAF data. | | `ADDRESSFINDER_AU_LOCATION_AUTOCOMPLETE_API` | AU Location Autocomplete | Tool to perform interactive autocomplete search for Australian streets, suburbs, and states. Use when you need to find or suggest Australian locations based on partial input. | | `ADDRESSFINDER_GET_AU_LOCATION_METADATA` | Get AU Location Metadata | Tool to retrieve comprehensive metadata for an Australian location (street, suburb, or state) selected from the Location Autocomplete API. Use when you need detailed information about a specific Australian location including coordinates, street details, suburb, state, and postcode. | | `ADDRESSFINDER_EMAIL_VERIFICATION_API` | Email Verification API | Tool to verify email addresses including syntax validation, domain existence, and email account verification. Use when you need to validate an email address before sending messages or storing contact information. | | `ADDRESSFINDER_INTERNATIONAL_ADDRESS_AUTOCOMPLETE` | International Address Autocomplete | Tool to search for international addresses using autocomplete functionality. Use when users need to find and select addresses in supported countries (AU, BE, CA, CZ, DK, FR, DE, IE, NZ, NL, PT, SG, ES, SE, GB, US). Returns address IDs that can be used with the Address Metadata API to retrieve full address details. | | `ADDRESSFINDER_GET_INTERNATIONAL_ADDRESS_METADATA` | Get International Address Metadata | Tool to retrieve full metadata for an international address selected from the Address Autocomplete API. Use when you need complete address details including street metadata and optional GPS coordinates for addresses outside your primary region. | | `ADDRESSFINDER_NZ_ADDRESS_AUTOCOMPLETE` | NZ Address Autocomplete | Tool to perform interactive search for New Zealand addresses. Use when you need to find closely matching NZ addresses based on partial address input. The tool searches the Addressfinder database and returns matching addresses which can then be selected by the user. Works with the Address Metadata API to retrieve associated address data using the pxid identifier. | | `ADDRESSFINDER_GET_NZ_ADDRESS_METADATA` | Get NZ Address Metadata | Tool to retrieve full metadata for a NZ address including coordinates, census data, and postal details. Use after selecting an address from the Address Autocomplete API to get complete address information. | | `ADDRESSFINDER_NZ_ADDRESS_REVERSE_GEOCODE` | NZ Address Reverse Geocode | Tool to reverse geocode NZ addresses from GPS coordinates. Use when you need to find the nearest addresses to a given longitude and latitude. Returns addresses ordered by distance. | | `ADDRESSFINDER_NZ_ADDRESS_VERIFICATION` | NZ Address Verification | Tool to verify New Zealand addresses against the Addressfinder database. Use when you need to validate and enrich NZ addresses, correct spelling mistakes, or retrieve detailed address metadata including coordinates and postal information. | | `ADDRESSFINDER_NZ_LOCATION_AUTOCOMPLETE` | NZ Location Autocomplete | Tool to perform interactive search for New Zealand streets, suburbs, cities, and regions. Use when you need to find or autocomplete location names in New Zealand. Returns closely matching locations with unique identifiers for further metadata lookups. | | `ADDRESSFINDER_GET_NZ_LOCATION_METADATA` | Get NZ Location Metadata | Tool to retrieve full metadata for a New Zealand location selected from the Location Autocomplete API. Use when you need detailed information including coordinates and LINZ address data for a specific location. | | `ADDRESSFINDER_NZ_POI_AUTOCOMPLETE` | NZ POI Autocomplete | Tool to perform interactive search for points of interest in New Zealand. Use when you need to find POIs like hospitals, cafes, or schools based on partial name matching. | | `ADDRESSFINDER_GET_NZ_POI_METADATA` | Get NZ POI Metadata | Tool to retrieve comprehensive metadata for New Zealand points of interest including coordinates and address details. Use when you need full POI information after selecting from autocomplete API. | | `ADDRESSFINDER_PHONE_VERIFICATION_API` | Phone Verification API | Tool to verify phone numbers through syntax, range checks, and network verification. Use when you need to validate a phone number's format, line type, and connection status. Returns verified number details including line type, connection status, and formatted representations. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Addressfinder MCP server is an implementation of the Model Context Protocol that connects your AI agent to Addressfinder. It provides structured and secure access so your agent can perform Addressfinder 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 Addressfinder - 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 Addressfinder - MCPServerStreamableHTTP connects to the Addressfinder 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 Addressfinder 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 Addressfinder composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["addressfinder"], ) 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 Addressfinder endpoint - The agent uses GPT-5 to interpret user commands and perform Addressfinder operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent addressfinder_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[addressfinder_mcp], instructions=( "You are a Addressfinder assistant. Use Addressfinder 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 - Addressfinder 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 Addressfinder.\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 Addressfinder composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["addressfinder"], ) 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 addressfinder_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[addressfinder_mcp], instructions=( "You are a Addressfinder assistant. Use Addressfinder 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 Addressfinder.\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 Addressfinder through Composio's Tool Router. With this setup, your agent can perform real Addressfinder 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 + Addressfinder 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 Addressfinder MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/addressfinder/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/addressfinder/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/addressfinder/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/addressfinder/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/addressfinder/framework/codex) - [OpenClaw](https://composio.dev/toolkits/addressfinder/framework/openclaw) - [Hermes](https://composio.dev/toolkits/addressfinder/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/addressfinder/framework/cli) - [Google ADK](https://composio.dev/toolkits/addressfinder/framework/google-adk) - [LangChain](https://composio.dev/toolkits/addressfinder/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/addressfinder/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/addressfinder/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/addressfinder/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/addressfinder/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place. - [Attio](https://composio.dev/toolkits/attio) - Attio is a customizable CRM and workspace for managing your team's relationships and workflows. It helps teams organize contacts, automate tasks, and collaborate more efficiently. - [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters. - [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort. - [Acculynx](https://composio.dev/toolkits/acculynx) - AccuLynx is a cloud-based roofing business management software for contractors. It streamlines project tracking, lead management, and document sharing. - [Affinity](https://composio.dev/toolkits/affinity) - Affinity is a relationship intelligence CRM that helps private capital investors find, manage, and close more deals. It streamlines deal flow and surfaces key connections to help you win opportunities. - [Agencyzoom](https://composio.dev/toolkits/agencyzoom) - AgencyZoom is a sales and performance platform built for P&C insurance agencies. It helps agents boost sales, retain clients, and analyze producer results in one place. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Addressfinder MCP? With a standalone Addressfinder MCP server, the agents and LLMs can only access a fixed set of Addressfinder tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Addressfinder 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 Addressfinder tools. ### Can I manage the permissions and scopes for Addressfinder while using Tool Router? Yes, absolutely. You can configure which Addressfinder 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 Addressfinder data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)