Demo MCP tool to capture URL screenshot.
What is Abhi5h3k MCP URL2SNAP
MCP URL2SNAP 🚀🤖
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.
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-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
Running the Server
- Set Up Environment Variables Create a .env file in the root directory and add your AbstractAPI key:
ABSTRACT_API_KEY=your_api_key_here
- Run the Server Start the MCP server:
uv run server.py
Usage
- 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"
],
"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"
Development
Formatting and Linting This project uses black and isort for code formatting and import sorting.
- Install development dependencies:
uv add black isort --dev
- Format the code:
black .
- Sort imports:
isort .
Set up pre-commit
pre-commit install
pre-commit run --all-files
Article: Model Context Protocol (MCP): A Beginner's Guide to the Future of AI Communication
Leave a Comment
Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
Related MCP Servers
chrisdoc hevy mcp
sylphlab pdf reader mcp
An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.
aashari mcp server atlassian bitbucket
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
aashari mcp server atlassian confluence
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.
prisma prisma
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Zzzccs123 mcp sentry
mcp sentry for typescript sdk
zhuzhoulin dify mcp server
zhongmingyuan mcp my mac
zhixiaoqiang desktop image manager mcp
MCP 服务器,用于管理桌面图片、查看详情、压缩、移动等(完全让Trae实现)
zhixiaoqiang antd components mcp
An MCP service for Ant Design components query | 一个减少 Ant Design 组件代码生成幻觉的 MCP 服务,包含系统提示词、组件文档、API 文档、代码示例和更新日志查询
Submit Your MCP Server
Share your MCP server with the community
Submit Now