MCP Servers with Pyppeteer

by devalexandre

MCP Servers

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 .
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security - not tested
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license - not tested
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A tool that enables automated browser control using Pyppeteer within the MCP framework, allowing navigation, screenshot capture, and element interaction with websites.

  1. Description
    1. Features
      1. Prerequisites
        1. Installation
          1. Installing via Smithery
          2. Via Pip GitHub
          3. Via Git

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