What is Mcp Email Verify

MCP-Email-Verify is a lightweight Model Context Protocol (MCP) server designed to validate email addresses. It checks the format, domain validity, and deliverability of emails using the AbstractAPI Email Validation API, making it ideal for AI applications like Claude Desktop.

Use cases

Use cases for MCP-Email-Verify include validating user email addresses during account creation, ensuring the accuracy of email lists for marketing campaigns, and integrating email validation into chatbots or virtual assistants.

How to use

To use MCP-Email-Verify, clone the repository from GitHub, install the required UV package, and set up a virtual environment. After setup, you can integrate the email verification functionality into your AI applications.

Key features

Key features of MCP-Email-Verify include real-time email verification, seamless integration with MCP-compatible LLMs, and an easy setup process using Python and the MCP SDK.

Where to use

MCP-Email-Verify can be used in various fields, particularly in AI applications that require email validation, such as customer relationship management (CRM) systems, marketing platforms, and user registration processes.

MCP Email Verify

A lightweight Model Context Protocol (MCP) server that enables your LLM to validate email addresses. This tool checks email format, domain validity, and deliverability using the AbstractAPI Email Validation API. Perfect for integrating email validation into AI applications like Claude Desktop.

What is Model Context Protocol (MCP)?

At its core, MCP is a standardized protocol designed to streamline communication between AI models and external systems. Think of it as a universal language that allows different AI agents, tools, and services to interact seamlessly.

Features

• Email Verification: Verify email addresses in real-time.
• MCP Integration: Seamlessly connect with MCP-compatible LLMs.
• Easy Setup: Built with Python and the MCP SDK for quick deployment.

MCP follows a client-server architecture:

Watch the Demo

Click the image below to watch a video demo of the MCP Email Verify tool in action:

Requirements

• Python: Python 3.11.0 or higher.
• UV: 0.6.9 or higher.

Setup

1. Clone the Repository

git clone https://github.com/Abhi5h3k/MCP-Email-Verify.git
cd MCP-Email-Verify

2. Install UV

If you don’t have UV installed, you can install it using the following commands:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Verify the installation:

uv --version

3. Set Up the Virtual Environment

Create a virtual environment using UV:

uv venv

Activate the virtual environment:
On Windows:

.venv\Scripts\activate

4. Install Dependencies
Install the required dependencies from pyproject.toml using UV:

uv install

Running the Server

1. Set Up Environment Variables
   Create a .env file in the root directory and add your AbstractAPI key:

ABSTRACT_API_KEY=your_api_key_here

2. Run the Server
   Start the MCP server:

uv run server.py

Usage

1. Register the Server with Claude Desktop
   Update the claude_desktop_config.json file to include your MCP server:

{
    "mcpServers": {
        "verify_mail": {
            "command": "uv",
            "args": [
                "--directory",
                "C:\\ABSOLUTE\\PATH\\TO\\MCP-Email-Verify",
                "run",
                "server.py"
            ]
        }
    }
}

2. Restart Claude Desktop
   Restart Claude Desktop to detect the new tool.

3. Verify Emails
   Use prompts like:

“I was trying to email Thanos at [email protected] to ask him to bring back my favorite TV show, but I’m not sure if it’s a valid email. Can you check if it’s real or just a snap in the dark?”

Development

Formatting and Linting
This project uses black and isort for code formatting and import sorting.

1. Install development dependencies:

    uv add black isort --dev
   

2. Format the code:

   black .
   

3. Sort imports:

  isort .

Set up pre-commit

pre-commit install
pre-commit run --all-files

Available On
Smithery.ai Server: MCP Email Verify

Article: Model Context Protocol (MCP): A Beginner’s Guide to the Future of AI Communication