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MCP Servers

MCP Servers

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github.com/devalexandreBrowser Automation0Updated 85w ago
Repository

About MCP Servers

MCP Servers is a Python-based MCP server for controlling a headless browser with Pyppeteer. It supports browser navigation, screenshots, and page interaction for automation workflows.

Key features

  1. 01Navigate to URLs
  2. 02Capture page screenshots
  3. 03Interact with elements using selectors
  4. 04Read dynamic page information
  5. 05Manage browser startup and shutdown

Use cases

  1. 01Automate navigation through web pages
  2. 02Capture screenshots during browser tasks
  3. 03Click page elements by CSS selector or XPath

MCP support

Provides browser-control capabilities to MCP clients, including navigation, screenshot capture, element interaction, and access to dynamic page information.

#mcp-servers#automation#browser-control

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "servers-devalexandre": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

smithery badge

MCP Servers

smithery badge

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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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.