A minimal MCP server/client implementation using Azure OpenAI and Playwright for web browsing.
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Provides an async browser automation server using OpenAI's GPT-4o model, enabling remote web navigation, content extraction, and task execution with configurable browser contexts. This is a robust MCP server solution for browser automation.
An MCP server implementation using Playwright for browser automation and web scraping tasks, enabling automation within the MCP ecosystem. Several projects implement this, including Automata Labs, ExecuteAutomation, and the Playwright Community.
An MCP server for Apify's RAG Web Browser Actor, performing web searches, scraping URLs, and returning content in Markdown within the MCP protocol.
Integrates Playwright with MCP to enable automated web interactions, scraping, and testing across browsers.
MCP servers for automating and controlling the user's browser using existing browser profiles, ideal for tasks requiring logged-in sessions and avoiding bot detection. Includes implementations by browsermcp and modelcontext.
Allows LLMs to control and interact with web browsers via Puppeteer and MCP, supporting web scraping, automated testing, and web-based report generation.
A minimal server/client implementation of the Model Context Protocol (MCP) using Azure OpenAI and Playwright for web browsing automation.
uv for Python library management (pip and poetry not yet fully supported for MCP CLI during development)..env file for Azure OpenAI credentials.chatgui.py).client_test.py).stdio (transport layer) and JSON-RPC (application protocol), supporting structured communication.code-execution-automation-mcp-servers
mcp, web, playwright, azure, openai
https://github.com/kimtth/mcp-aoai-web-browsing
No pricing information provided; open source repository.