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What is Model Context Protocol (MCP)?

What is Model Context Protocol (MCP)?

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github.com/Abhi5h3kCommunication4Updated 84w ago

About What is Model Context Protocol (MCP)?

MCP Email Verify is an MCP server that uses the AbstractAPI Email Validation API, for users who need email checks in AI applications. It checks address format, domain validity, and deliverability.

Key features

  1. 01Verify email addresses in real time
  2. 02Check email address format
  3. 03Validate domain validity
  4. 04Check email deliverability

Use cases

  1. 01Check whether a contact's email is valid
  2. 02Validate addresses in an AI application
  3. 03Check deliverability before sending email

MCP support

The MCP server exposes an email verification tool to compatible LLM clients and checks addresses through the AbstractAPI Email Validation API.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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.

MCP drawio (1)


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:

client server drawio


Watch the Demo

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

Screenshot 2025-03-23 115525


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
  1. 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"
            ]
        }
    }
}

image

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

  2. 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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.