# How to integrate Addressfinder MCP with CrewAI ```json { "title": "How to integrate Addressfinder MCP with CrewAI", "toolkit": "Addressfinder", "toolkit_slug": "addressfinder", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/addressfinder/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/addressfinder/framework/crew-ai.md", "updated_at": "2026-03-29T06:21:55.064Z" } ``` ## Introduction This guide walks you through connecting Addressfinder to CrewAI 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 CrewAI 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) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Addressfinder connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Addressfinder - Build a conversational loop where your agent can execute Addressfinder operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## 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 and API key - A Addressfinder connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Addressfinder via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Addressfinder MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Addressfinder **What's happening:** - You create a Addressfinder only session through Composio - Composio returns an MCP HTTP URL that exposes Addressfinder tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["addressfinder"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["addressfinder"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Addressfinder through Composio's Tool Router. The agent can perform Addressfinder operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## 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) ## 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 CrewAI? Yes, you can. CrewAI 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)