# How to integrate Interzoid MCP with Pydantic AI ```json { "title": "How to integrate Interzoid MCP with Pydantic AI", "toolkit": "Interzoid", "toolkit_slug": "interzoid", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/interzoid/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/interzoid/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:16:08.678Z" } ``` ## Introduction This guide walks you through connecting Interzoid to Pydantic AI using the Composio tool router. By the end, you'll have a working Interzoid agent that can match duplicate customer records by name, verify email addresses in a contact list, enrich company data with industry details through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Interzoid account through Composio's Interzoid MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Interzoid with - [OpenAI Agents SDK](https://composio.dev/toolkits/interzoid/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/interzoid/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/interzoid/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/interzoid/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/interzoid/framework/codex) - [OpenClaw](https://composio.dev/toolkits/interzoid/framework/openclaw) - [Hermes](https://composio.dev/toolkits/interzoid/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/interzoid/framework/cli) - [Google ADK](https://composio.dev/toolkits/interzoid/framework/google-adk) - [LangChain](https://composio.dev/toolkits/interzoid/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/interzoid/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/interzoid/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/interzoid/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/interzoid/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 Interzoid - 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 Interzoid 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 Interzoid MCP server, and what's possible with it? The Interzoid MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Interzoid account. It provides structured and secure access to Interzoid's powerful data quality APIs, so your agent can perform actions like matching records, verifying data, enriching information, and analyzing datasets on your behalf. - Data matching and deduplication: Let your agent detect and merge duplicate records across datasets using fuzzy and advanced matching algorithms. - Real-time data verification: Have the agent verify email addresses, phone numbers, and other key data points to ensure accuracy and reliability. - Data enrichment and augmentation: Automatically enhance your records with additional company, contact, or geographic information pulled from Interzoid's enrichment APIs. - Similarity scoring and analysis: Enable your agent to compare names, addresses, or other fields for similarity, helping with record linkage or fraud detection. - Automated quality checks: Easily set up workflows where your agent scans new or existing data for quality issues and suggests corrections or improvements. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `INTERZOID_ADDRESS_PARSE` | Parse Address | Tool to parse a free-form address into structured components. Use when you need to extract street, city, state, etc. from unstructured address strings. | | `INTERZOID_EMAIL_TRUST_SCORE` | Interzoid Email Trust Score | Tool to return a trust score for an email address. Use when you need to assess the quality and legitimacy of an email address. Call after acquiring the target email. | | `INTERZOID_GET_ADDRESS_MATCH_ADVANCED` | Get Address Match Advanced | Tool to generate a similarity key for a US street address. Use when performing fuzzy deduplication of addresses across datasets. | | `INTERZOID_GET_AREA_CODE` | Get Area Code Information | Tool to retrieve telephone area code information including primary city and geographic locale. Use when you need to get details about a specific area code. | | `INTERZOID_GET_AREA_CODE_FROM_NUMBER` | Get Area Code From Number | Tool to get area code information from a telephone number. Use when you need to identify the geographic location or area code details for a given phone number. | | `INTERZOID_GET_BUSINESS_INFO` | Get Business Info | Tool to retrieve comprehensive company profiles and business intelligence. Use when you need detailed company information by name, domain, or email. | | `INTERZOID_GET_COMPANY_MATCH_ADVANCED` | Get Company Match Advanced | Tool to generate a fuzzy-matching key for an organization name. Use when normalizing and deduplicating company names after extraction. | | `INTERZOID_GET_COUNTRY_INFO` | Get Country Info | Tool to standardize a country name and return metadata like ISO codes, currency, TLD, and calling code. Use when you need detailed country information based on a country name or code. | | `INTERZOID_GET_CURRENCY_RATE` | Get Currency Rate | Tool to retrieve live USD exchange rate for a currency symbol. Use when you need current market rate for a three-letter ISO 4217 currency. | | `INTERZOID_GET_CUSTOM_DATA` | Get Custom Data | Tool to retrieve custom enriched data based on a topic and lookup value. Use after specifying the desired output fields. | | `INTERZOID_GET_EMAIL_INFO` | Get Email Info | Tool to validate an email and return enrichment/demographics. Use when you need in-depth email analysis after confirming the email address. | | `INTERZOID_GET_ENTITY_TYPE` | Get Entity Type | Tool to classify a text string into an entity type. Use when you need to identify if input refers to a Location, Organization, or Individual. | | `INTERZOID_GET_EXECUTIVE_PROFILE` | Get Executive Profile | Tool to retrieve executive profile details based on company and title keywords. Use when you need executive information such as LinkedIn and biography links. | | `INTERZOID_GET_FULL_NAME_MATCH` | Get Full Name Match | Tool to generate a similarity key for a full name. Use when performing fuzzy matching or deduplication of individual names. | | `INTERZOID_GET_FULL_NAME_MATCH_SCORE` | Get Full Name Match Score | Tool to return a similarity score between two full names. Use when determining if two person names likely refer to the same individual. | | `INTERZOID_GET_GLOBAL_ADDRESS_MATCH` | Get Global Address Match | Tool to generate a similarity key for a global address. Use when performing fuzzy matching and deduplication of international addresses. | | `INTERZOID_GET_GLOBAL_PAGE_LOAD_PERFORMANCE` | Get Global Page Load Performance | Tool to measure page/API load time from a specified global origin. Use when benchmarking response times across geographic locations. | | `INTERZOID_GET_GLOBAL_WEATHER` | Get Global Weather | Tool to return current weather conditions for a global location. Use when you need up-to-the-minute weather details for any city worldwide. | | `INTERZOID_GET_IP_PROFILE` | Get IP Profile | Tool to retrieve IP intelligence including ASN, organization, geolocation, and reputation. Use when profiling an IP address for threat analysis. | | `INTERZOID_GET_LICENSE` | Get API License Key | Tool to retrieve the configured Interzoid API license key. Use when you need to inspect which API key is active in the current connection. | | `INTERZOID_GET_NAME_ORIGIN` | Get Name Origin | Tool to infer the likely country or region of origin from a personal name. Use after obtaining a name to guess its origin. | | `INTERZOID_GET_ORG_MATCH_SCORE` | Get Org Match Score | Tool to return a 1–99 match score between two organization names. Use after gathering both names to evaluate organization similarity. | | `INTERZOID_GET_ORG_STANDARD` | Get Org Standard | Tool to standardize an organization name to a canonical English form. Use when you need consistent company naming for data normalization. | | `INTERZOID_GET_PARENT_COMPANY_INFO` | Get Parent Company Info | Tool to retrieve ultimate parent company information. Use when you have a company name or domain and need its ownership details. | | `INTERZOID_GET_PHONE_PROFILE` | Get Phone Number Profile | Tool to retrieve phone number intelligence including validation, normalization, carrier, and risk assessment. Use when you need to enrich and validate a phone number after capture. | | `INTERZOID_GET_PRODUCT_MATCH` | Get Product Match | Tool to generate a similarity key for a product name. Use when normalizing and fuzzy-matching names across catalogs. | | `INTERZOID_GET_REMAINING_CREDITS` | Get Remaining API Credits | Tool to retrieve remaining Interzoid API credits. Use when you need to check your credit balance after usage. | | `INTERZOID_GET_WEATHER_ZIPCODE` | Get Weather by ZIP Code | Tool to get current weather conditions for a US ZIP code. Use when you need real-time weather information for a specific area after confirming the ZIP code is valid. | | `INTERZOID_IDENTIFY_LANGUAGE` | Identify Language | Tool to detect the language of a text string. Use when you need to identify the language of arbitrary text. Call after obtaining the text input. | | `INTERZOID_TRANSLATE_TO_ANY` | Translate any text (auto-detect language) | Tool to auto-detect the input language and translate given text to the specified target language. Use when you need quick translations without specifying the source language. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Interzoid MCP server is an implementation of the Model Context Protocol that connects your AI agent to Interzoid. It provides structured and secure access so your agent can perform Interzoid 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 Interzoid - 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 Interzoid - MCPServerStreamableHTTP connects to the Interzoid 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 Interzoid 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 Interzoid composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["interzoid"], ) 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 Interzoid endpoint - The agent uses GPT-5 to interpret user commands and perform Interzoid operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent interzoid_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[interzoid_mcp], instructions=( "You are a Interzoid assistant. Use Interzoid 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 - Interzoid 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 Interzoid.\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 Interzoid composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["interzoid"], ) 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 interzoid_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[interzoid_mcp], instructions=( "You are a Interzoid assistant. Use Interzoid 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 Interzoid.\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 Interzoid through Composio's Tool Router. With this setup, your agent can perform real Interzoid 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 + Interzoid 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 Interzoid MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/interzoid/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/interzoid/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/interzoid/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/interzoid/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/interzoid/framework/codex) - [OpenClaw](https://composio.dev/toolkits/interzoid/framework/openclaw) - [Hermes](https://composio.dev/toolkits/interzoid/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/interzoid/framework/cli) - [Google ADK](https://composio.dev/toolkits/interzoid/framework/google-adk) - [LangChain](https://composio.dev/toolkits/interzoid/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/interzoid/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/interzoid/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/interzoid/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/interzoid/framework/crew-ai) ## Related Toolkits - [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources. - [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research. - [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows. - [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research. - [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data. - [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds. - [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights. - [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly. - [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools. - [Browseai](https://composio.dev/toolkits/browseai) - Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping. - [ClickHouse](https://composio.dev/toolkits/clickhouse) - ClickHouse is an open-source, column-oriented database for real-time analytics and big data processing using SQL. Its lightning-fast query performance makes it ideal for handling large datasets and delivering instant insights. - [Coinmarketcal](https://composio.dev/toolkits/coinmarketcal) - CoinMarketCal is a community-powered crypto calendar for upcoming events, announcements, and releases. It helps traders track market-moving developments and stay ahead in the crypto space. - [Control d](https://composio.dev/toolkits/control_d) - Control d is a customizable DNS filtering and traffic redirection platform. It helps you manage internet access, enforce policies, and monitor usage across devices and networks. - [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights. - [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently. - [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy. - [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment. - [Dovetail](https://composio.dev/toolkits/dovetail) - Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries. - [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business. - [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Interzoid MCP? With a standalone Interzoid MCP server, the agents and LLMs can only access a fixed set of Interzoid tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Interzoid 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 Interzoid tools. ### Can I manage the permissions and scopes for Interzoid while using Tool Router? Yes, absolutely. You can configure which Interzoid 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 Interzoid data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)