Mcp Servers

Control a headless browser for automated navigation, screenshot capturing, and interaction with web page elements. Facilitates the creation of automation projects using the Multi-Context Protocol framework.

Author

Mcp Servers logo

devalexandre

Apache License 2.0

Quick Info

GitHub GitHub Stars 0
NPM Weekly Downloads 854
Tools 1
Last Updated 3/10/2025

Tags

automation browser automated browser automation automation web browser automated

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MCP Servers

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Description

The MCP Servers with Pyppeteer is a tool that allows you to control a headless browser using Pyppeteer, enabling automated navigation, screenshot capturing, interaction with page elements, and more. This project was developed to facilitate the creation of automation servers based on the MCP (Multi-Context Protocol) framework.


Features

  • Automated Navigation: Navigate to specific URLs.
  • Screenshot Capture: Take screenshots of visited pages.
  • Element Interaction: Click on page elements using CSS selectors, XPath, or class names.
  • Dynamic Resources: Access dynamic page information, such as the current URL.
  • Server Lifecycle Management: Controlled initialization and shutdown of the browser.

Prerequisites

Make sure you have the following installed before getting started:

  1. Python 3.7+: The project has been tested with Python 3.12, but earlier versions (3.7+) should also work.
  2. pip: Python package manager.
  3. Git: To clone the repository.

Installation

Installing via Smithery

To install MCP Servers for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @devalexandre/mcp-servers --client claude

Via Pip GitHub

  1. Install the Package:

    pip install -e git+https://github.com/devalexandre/mcp-servers.git#egg=mcp-servers
    

Via Git

  1. Clone the Repository:

    git clone https://github.com/devalexandre/mcp-servers.git
    cd mcp-servers
    
  2. Create a Virtual Environment (Optional):

    python -m venv venv
    source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
    pip install -r requirements.txt
    
  3. nstall the Package in Editable Mode:

    pip install -e .