What is MCP Servers and what does it do?
MCP Servers is a tool that uses Pyppeteer to control a headless browser for automated navigation, screenshot capture, element interaction, and dynamic resource access, built on the MCP framework.
MCP Servers
@devalexandre
Basic information
About MCP Servers
No overview available yet
MCP Servers config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-servers-devalexandre": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@devalexandre/mcp-servers",
"--client",
"claude"
]
}
}
}MCP Servers tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
What is MCP Servers?
MCP Servers with Pyppeteer is a tool that controls a headless browser using Pyppeteer, enabling automated navigation, screenshot capturing, interaction with page elements, and more. It is designed to facilitate the creation of automation servers based on the MCP (Multi-Context Protocol) framework.
How to use MCP Servers?
Install the server via Smithery, pip, or by cloning the repository. After installation, the server can be started to handle browser automation tasks. Configuration is done through the installation method (e.g., Smithery for Claude Desktop).
Key features of MCP Servers
- 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.
Use cases of MCP Servers
—
Frequently asked questions
What are the prerequisites for using MCP Servers?
You need Python 3.7+ (tested with 3.12), pip, Git, and optionally a virtual environment. The project has been tested with Python
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