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blackwhite084/playwright-plus-python-mcp

by Various

🐍 - An MCP python server using Playwright for browser automation,more suitable for llm

B

MCP

blackwhite084/playwright-plus-python-mcp

Added 1 June 2026

Overview

An MCP server built in Python that uses Playwright for browser automation, designed for integration with LLMs. It exposes Playwright's capabilities through the Model Context Protocol, enabling language models to control browsers programmatically. The tool simplifies web interaction tasks for AI-driven workflows.

Best for

Best for
Developers building LLM agents that need browser automation capabilities

Use cases

  • Automating browser tasks with LLM-driven agents
  • Performing end-to-end testing orchestrated by AI
  • Extracting data from web pages via natural language commands

Notes

An MCP server built in Python that uses Playwright for browser automation, designed for integration with LLMs. It exposes Playwright’s capabilities through the Model Context Protocol, enabling language models to control browsers programmatically. The tool simplifies web interaction tasks for AI-driven workflows.

187 stars on GitHub. Last updated 2025-01-07. Licensed Apache-2.0.

Use cases

  • Automating browser tasks with LLM-driven agents
  • Performing end-to-end testing orchestrated by AI
  • Extracting data from web pages via natural language commands

Pros

  • Optimized for LLM integration via the Model Context Protocol
  • Leverages Playwright for cross-browser and modern web automation
  • Python-based, easy to incorporate into existing AI and data pipelines

Cons

  • Small community (187 stars) may indicate limited long-term maintenance
  • Minimal documentation beyond a one-line description
  • Relatively new project without proven production track record

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Optimized for LLM integration via the Model Context Protocol
  • Leverages Playwright for cross-browser and modern web automation
  • Python-based, easy to incorporate into existing AI and data pipelines

Cons

  • Small community (187 stars) may indicate limited long-term maintenance
  • Minimal documentation beyond a one-line description
  • Relatively new project without proven production track record