MCP (Model-Context-Protocol) server that wraps Playwright browser-automation tools and exposes them as MCP resources, prompts and tools.
https://github.com/blackwhite084/playwright-plus-python-mcpStop switching between AI chats and separate automation scripts. This MCP server brings Playwright's full browser automation power directly into your AI conversations, letting you navigate, interact, and extract data from websites without breaking context.
You're deep in an AI conversation about analyzing competitor pricing, debugging a web app, or gathering market research. Then you hit the wall: "I need to actually interact with that website." Cue the context switch to write automation scripts, run them separately, copy results back, and try to resume where you left off.
This MCP server eliminates that friction entirely.
Eight focused tools that cover the essential browser automation workflows:
Each tool works within your ongoing AI conversation, maintaining context and building on previous actions.
Competitive Analysis: "Navigate to their pricing page, take a screenshot, then extract all the plan details" - all in one conversational flow instead of writing separate scraping scripts.
QA Workflows: Debug issues by having the AI navigate through your app, fill forms, and capture screenshots of any problems it encounters, then immediately discuss solutions.
Data Gathering: Research workflows where you can ask the AI to visit multiple sites, extract specific information, and compile results without manually orchestrating separate automation tasks.
Content Auditing: "Check if our tracking pixels are firing correctly on the homepage" - the AI can navigate, execute JavaScript to inspect network calls, and report back findings.
This isn't another tool in your stack - it's an extension of your AI conversations. Set it up once in Claude Desktop:
"mcpServers": {
"playwright-server": {
"command": "uvx",
"args": ["playwright-server"]
}
}
Now your AI assistant can control browsers directly. No API keys, no complex configuration, no separate service management.
Browser automation typically requires you to think in terms of selectors, wait conditions, and error handling. This MCP server handles the technical details while you focus on the actual task. The AI can intelligently combine navigation, interaction, and data extraction based on natural language descriptions of what you're trying to accomplish.
You maintain conversational flow while getting programmatic precision. That's the productivity multiplier - keeping your problem-solving momentum while accessing the full power of browser automation.
Ready to stop switching contexts? The setup takes two minutes, and your next AI conversation can include live web interaction.