How to integrate Icypeas MCP with Pydantic AI

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Introduction

This guide walks you through connecting Icypeas to Pydantic AI using the Composio tool router. By the end, you'll have a working Icypeas agent that can find verified email for john doe at acme.com, bulk search emails for 100 new leads, list all role-based emails at example.org, get linkedin url for jane smith at icypeas.com through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Icypeas account through Composio's Icypeas MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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 Icypeas
  • 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 Icypeas 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 Icypeas MCP server, and what's possible with it?

The Icypeas MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Icypeas account. It provides structured and secure access to professional email discovery and verification, so your agent can perform actions like finding emails, verifying addresses, searching company data, and scanning domains on your behalf.

  • Accurate email discovery and verification: Instantly find and verify professional email addresses using first name, last name, and company domain to supercharge your outreach or lead generation.
  • Bulk prospecting and search management: Launch bulk email or profile URL searches for thousands of contacts at once, then track progress and fetch results without manual oversight.
  • Comprehensive company and people lookup: Search for companies or filter people by name, title, company, and more to enrich your CRM or build targeted prospect lists efficiently.
  • Domain scanning for role-based emails: Scan entire company domains to discover all available role-based email addresses, simplifying large-scale contact discovery.
  • Subscription and usage insights: Check your Icypeas subscription details and remaining credits, helping you stay on top of your usage and plan outreach campaigns smarter.

Supported Tools & Triggers

Tools
Bulk Email SearchTool to start a bulk email search job.
Check Search ProgressTool to check the progress of a search by its ID.
Domain ScanTool to scan a domain for role-based email addresses.
Fetch Bulk Search InfoTool to fetch information about bulk search files.
Fetch Subscription InformationTool to fetch subscription and credit info.
Find CompaniesTool to search companies in Icypeas database.
Find Company URLTool to find a single company profile URL using a company name or domain.
Find PeopleTool to search for people in the leads database.
Find Profile URLTool to find a single profile URL.
Find Profile URLs BulkTool to perform bulk search for profile URLs.
Find Single EmailTool to discover a single email address using a person's first or last name with a company domain or name.
Retrieve Search ResultsTool to retrieve the results of a search by ID or to paginate through bulk search results.
Scrape CompanyTool to scrape company profile information from a LinkedIn company URL.
Scrape ProfileTool to initiate scraping of a LinkedIn profile.
Setup NotificationsTool to set up push notifications.
Statistics Bulk SearchTool to parse bulk search statistics webhook.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

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

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.

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 Icypeas
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

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

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 Icypeas
  • MCPServerStreamableHTTP connects to the Icypeas MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

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 Icypeas
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["icypeas"],
    )
    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 Icypeas 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

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
icypeas_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[icypeas_mcp],
    instructions=(
        "You are a Icypeas assistant. Use Icypeas tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Icypeas endpoint
  • The agent uses GPT-5 to interpret user commands and perform Icypeas operations
  • The instructions field defines the agent's role and behavior

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 Icypeas.\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
  • Icypeas API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

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 Icypeas 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 Icypeas
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["icypeas"],
    )
    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
    icypeas_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[icypeas_mcp],
        instructions=(
            "You are a Icypeas assistant. Use Icypeas 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 Icypeas.\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 Icypeas through Composio's Tool Router. With this setup, your agent can perform real Icypeas 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 + Icypeas 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 Icypeas MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Icypeas MCP?

With a standalone Icypeas MCP server, the agents and LLMs can only access a fixed set of Icypeas tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Icypeas 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 Icypeas tools.

Can I manage the permissions and scopes for Icypeas while using Tool Router?

Yes, absolutely. You can configure which Icypeas 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 Icypeas data and credentials are handled as safely as possible.

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HubSpot
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Letta
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Altera
DataStax
Entelligence
Rolai

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