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2025-03-23

Ein leichter Modellkontext -Protokoll -Server (MCP), mit dem Ihr LLM E -Mail -Adressen validieren kann. Dieses Tool überprüft das E -Mail -Format, die Domänengültigkeit und die Lieferbarkeit unter Verwendung der AbstractAPI -E -Mail -Validierungs -API. Perfekt zur Integration der E -Mail -Validierung in AI -Anwendungen wie Claude Desktop.

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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 thanos@snap.io 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

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    Reviews

    2 (1)
    Avatar
    user_YGwfVJNj
    2025-04-15

    The MCP SSE Sample by iuill is an impressive tool for developers looking to enhance their server-sent events capabilities. The documentation is clear, and the example code provided works seamlessly, illustrating the features effectively. Highly recommend checking it out here: https://mcp.so/server/mcp_sse_sample/iuill.