How to integrate Interzoid MCP with Pydantic AI

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.

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Interzoid is a real-time data quality platform offering APIs for matching, verification, and enrichment. It helps developers clean, connect, and enhance data for better insights and smarter applications.

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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 SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

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
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
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
6

Create a Tool Router Session

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")
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
7

Initialize the Pydantic AI Agent

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."
    ),
)
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
8

Build the chat interface

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()
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
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Interzoid and Pydantic AI:

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.
TOOLS

Supported Tools

Every Interzoid action and event your agent gets out of the box.

Parse Address

Tool to parse a free-form address into structured components.

Interzoid Email Trust Score

Tool to return a trust score for an email address.

Get Address Match Advanced

Tool to generate a similarity key for a US street address.

Get Area Code Information

Tool to retrieve telephone area code information including primary city and geographic locale.

Get Area Code From Number

Tool to get area code information from a telephone number.

Get Business Info

Tool to retrieve comprehensive company profiles and business intelligence.

Get Company Match Advanced

Tool to generate a fuzzy-matching key for an organization name.

Get Country Info

Tool to standardize a country name and return metadata like ISO codes, currency, TLD, and calling code.

Get Currency Rate

Tool to retrieve live USD exchange rate for a currency symbol.

Get Custom Data

Tool to retrieve custom enriched data based on a topic and lookup value.

Get Email Info

Tool to validate an email and return enrichment/demographics.

Get Entity Type

Tool to classify a text string into an entity type.

Get Executive Profile

Tool to retrieve executive profile details based on company and title keywords.

Get Full Name Match

Tool to generate a similarity key for a full name.

Get Full Name Match Score

Tool to return a similarity score between two full names.

Get Global Address Match

Tool to generate a similarity key for a global address.

Get Global Page Load Performance

Tool to measure page/API load time from a specified global origin.

Get Global Weather

Tool to return current weather conditions for a global location.

Get IP Profile

Tool to retrieve IP intelligence including ASN, organization, geolocation, and reputation.

Get API License Key

Tool to retrieve the configured Interzoid API license key.

Get Name Origin

Tool to infer the likely country or region of origin from a personal name.

Get Org Match Score

Tool to return a 1–99 match score between two organization names.

Get Org Standard

Tool to standardize an organization name to a canonical English form.

Get Parent Company Info

Tool to retrieve ultimate parent company information.

Get Phone Number Profile

Tool to retrieve phone number intelligence including validation, normalization, carrier, and risk assessment.

Get Product Match

Tool to generate a similarity key for a product name.

Get Remaining API Credits

Tool to retrieve remaining Interzoid API credits.

Get Weather by ZIP Code

Tool to get current weather conditions for a US ZIP code.

Identify Language

Tool to detect the language of a text string.

Translate any text (auto-detect language)

Tool to auto-detect the input language and translate given text to the specified target language.

FRAMEWORKS

How to build Interzoid MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Interzoid MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Interzoid MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Interzoid MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Interzoid MCP with Claude Cowork

Codex logo

Codex

Use Interzoid MCP with Codex

OpenClaw logo

OpenClaw

Use Interzoid MCP with OpenClaw

Hermes logo

Hermes

Use Interzoid MCP with Hermes

CLI logo

CLI

Use Interzoid MCP with CLI

Google ADK logo

Google ADK

Use Interzoid MCP with Google ADK

LangChain logo

LangChain

Use Interzoid MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Interzoid MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Interzoid MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Interzoid MCP with LlamaIndex

CrewAI logo

CrewAI

Use Interzoid MCP with CrewAI

FAQ

Frequently asked questions

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.

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.

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.

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.

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