Snap Sense

🚀 MCP URL2SNAP

A lightweight Model Context Protocol (MCP) server that enables your LLM to capture screenshots of any specified URL and return only the URL to access the image. This tool simplifies the process of web page snapshot generation and sharing, making it a perfect choice for integrating visual capture capabilities into AI applications such as Claude Desktop or automated workflows.

🚀 Quick Start

This guide will walk you through the steps to set up and use the MCP URL2SNAP server.

✨ Features

• Email Verification: Validate email addresses in real-time.
• MCP Integration: Seamlessly connect with MCP-compatible LLMs.
• Easy Setup: Quickly deploy using Python and the MCP SDK.

📦 Installation

Requirements

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

Setup Steps

1. Clone the repository

git clone https://github.com/Abhi5h3k/MCP-URL2SNAP.git
cd MCP-URL2SNAP

2. Install UV If you haven't installed UV, you can use the following command to install it:

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

Verify the installation:

uv --version

3. Create a 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:

uv install

Run the Server

1. Set 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 Examples

Basic Usage

1. Register the server on 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"
            ],
            "env":{
              "ABSTRACT_API_KEY":"YUR_API_KEY"
            }
        }
    }
}

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

3. Use in your code

import requests

url = "http://localhost:5000/verify_email"
data = {"email": "test@example.com"}
response = requests.post(url, json=data)
print(response.json())

📚 Documentation

What is Model Context Protocol (MCP)?

Fundamentally, MCP is a standardized protocol designed to simplify communication between AI models and external systems. Imagine it as a universal language that allows different AI agents, tools, and services to interact seamlessly.

MCP Adopts a Client-Server Architecture

Watch the Demo

Click the image below to watch a video demonstration of the MCP Email Verify tool:

Article

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