# How to integrate Verifiedemail MCP with Pydantic AI

```json
{
  "title": "How to integrate Verifiedemail MCP with Pydantic AI",
  "toolkit": "Verifiedemail",
  "toolkit_slug": "verifiedemail",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/verifiedemail/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/verifiedemail/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:29:45.212Z"
}
```

## Introduction

This guide walks you through connecting Verifiedemail to Pydantic AI using the Composio tool router. By the end, you'll have a working Verifiedemail agent that can verify if this email address is valid, check remaining email verification credits, get status of your recent file upload through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Verifiedemail account through Composio's Verifiedemail MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Verifiedemail with

- [OpenAI Agents SDK](https://composio.dev/toolkits/verifiedemail/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/verifiedemail/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/verifiedemail/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/verifiedemail/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/verifiedemail/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/verifiedemail/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/verifiedemail/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/verifiedemail/framework/cli)
- [Google ADK](https://composio.dev/toolkits/verifiedemail/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/verifiedemail/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/verifiedemail/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/verifiedemail/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/verifiedemail/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/verifiedemail/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 Verifiedemail
- 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 Verifiedemail 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 Verifiedemail MCP server, and what's possible with it?

The Verifiedemail MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Verifiedemail account. It provides structured and secure access to your email verification services, so your agent can perform actions like verifying email addresses, cleaning email lists, checking credit balances, and managing credential sharing on your behalf.
- Real-time email verification: Instantly check the validity and deliverability of any email address, ensuring your messages reach real recipients.
- Bulk email list cleaning: Automate the process of uploading and verifying large email lists to maintain high deliverability and reduce bounce rates.
- Credit balance monitoring: Let your agent retrieve and monitor your remaining verification credits so you never run out unexpectedly.
- Credential sharing and management: Fetch and update shared credentials securely, supporting workflows where multiple users need access or updates to verification data.
- File verification status tracking: Poll and check the progress of bulk email verification jobs, helping you stay updated on list cleaning operations.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `VERIFIEDEMAIL_CHECK_CREDITS` | Check Credits | Tool to retrieve the remaining verification credits. Call before VERIFIEDEMAIL_VERIFY_EMAIL operations—especially in bulk or repeated workflows—as VERIFIEDEMAIL_VERIFY_EMAIL fails immediately when credits are exhausted. Use after confirming account authentication to ensure sufficient credits before proceeding. |
| `VERIFIEDEMAIL_CHECK_FILE_STATUS` | Check File Status | Tool to check the status of a previously uploaded file. Use after uploading a file when polling for verification progress. |
| `VERIFIEDEMAIL_GET1_CLICK_USER_DATA` | Get 1-Click User Data | Tool to retrieve data for a user who has completed a 1-Click Signup flow. Use after you have the identityUuid to fetch the verified user's full profile. |
| `VERIFIEDEMAIL_GET_ENTITLEMENTS` | Get Entitlements | Tool to retrieve information about available credits across different entitlement types. Use when you need to check credit availability before performing operations that consume credits. |
| `VERIFIEDEMAIL_GET_SHARED_CREDENTIALS` | Get Shared Credentials | Tool to retrieve a list of shared credential IDs. Use when you need to fetch all credentials shared to your account after authentication. |
| `VERIFIEDEMAIL_LIST_DOWNLOADS` | List Downloads | Tool to get a list of previously created download requests. Use when you need to retrieve information about download requests that have been created for verification results. |
| `VERIFIEDEMAIL_LIST_LISTS` | List Lists | Tool to get all email lists in your account. Use when you need to retrieve and view all verification lists with optional pagination and sorting. |
| `VERIFIEDEMAIL_POST1_CLICK_CREDENTIALS_UPDATE` | Update 1-Click Credentials | Tool to update 1-Click credentials. Use after obtaining a 1-Click session uuid when you need to update user-provided credential values in a non-hosted or trusted flow. |
| `VERIFIEDEMAIL_VERIFY_EMAIL` | Verify Email | Tool to verify the deliverability and validity of an email address. Use when you need to confirm if an email can receive mail by checking server existence, mailbox status, and more. For bulk use, call VERIFIEDEMAIL_CHECK_CREDITS first — this tool fails if verification credits are exhausted. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Verifiedemail MCP server is an implementation of the Model Context Protocol that connects your AI agent to Verifiedemail. It provides structured and secure access so your agent can perform Verifiedemail 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 Verifiedemail
- 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 Verifiedemail
- MCPServerStreamableHTTP connects to the Verifiedemail 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 Verifiedemail 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 Verifiedemail
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["verifiedemail"],
    )
    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 Verifiedemail endpoint
- The agent uses GPT-5 to interpret user commands and perform Verifiedemail operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
verifiedemail_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[verifiedemail_mcp],
    instructions=(
        "You are a Verifiedemail assistant. Use Verifiedemail 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
- Verifiedemail 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 Verifiedemail.\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 Verifiedemail
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["verifiedemail"],
    )
    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
    verifiedemail_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[verifiedemail_mcp],
        instructions=(
            "You are a Verifiedemail assistant. Use Verifiedemail 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 Verifiedemail.\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 Verifiedemail through Composio's Tool Router. With this setup, your agent can perform real Verifiedemail 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 + Verifiedemail 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 Verifiedemail MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/verifiedemail/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/verifiedemail/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/verifiedemail/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/verifiedemail/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/verifiedemail/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/verifiedemail/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/verifiedemail/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/verifiedemail/framework/cli)
- [Google ADK](https://composio.dev/toolkits/verifiedemail/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/verifiedemail/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/verifiedemail/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/verifiedemail/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/verifiedemail/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/verifiedemail/framework/crew-ai)

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- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
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- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Verifiedemail MCP?

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

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

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

---
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