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.
@devalexandre
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-servers-devalexandre": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@devalexandre/mcp-servers",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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.
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).
—
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.
You need Python 3.7+ (tested with 3.12), pip, Git, and optionally a virtual environment. The project has been tested with Python

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
Hindsight: Agent Memory That Learns

Model Context Protocol Servers
A curated list of references for MLOps
コメント