URL2SNAP Screenshot Capture
STDIOLightweight MCP server that captures screenshots of URLs and returns image access links.
Lightweight MCP server that captures screenshots of URLs and returns image access links.
A lightweight Model Context Protocol (MCP) server that enables your LLM to capture screenshots of any specified URL and return only the access URL for the captured image. This tool simplifies the process of generating and sharing webpage snapshots, making it perfect for integrating visual capture capabilities into AI applications like Claude Desktop or automation workflows.
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.
Click the image below to watch a video demo of the MCP Email Verify tool in action:
1. Clone the Repository
git clone https://github.com/Abhi5h3k/MCP-URL2SNAP.git
cd MCP-URL2SNAP
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
ABSTRACT_API_KEY=your_api_key_here
uv run server.py
{
"mcpServers": {
"verify_mail": {
"command": "uv",
"args": [
"--directory",
"C:\\ABSOLUTE\\PATH\\TO\\MCP-Email-Verify",
"run",
"server.py"
],
"env":{
"ABSTRACT_API_KEY":"YUR_API_KEY"
}
}
}
}
Restart Claude Desktop Restart Claude Desktop to detect the new tool.
Verify Emails Use prompts like:
"can you show me the screenshot of https://github.com/Abhi5h3k"
Formatting and Linting This project uses black and isort for code formatting and import sorting.
uv add black isort --dev
black .
isort .
pre-commit install pre-commit run --all-files
Article: Model Context Protocol (MCP): A Beginner's Guide to the Future of AI Communication