Playwright MCP
VerifiedBrowser automation via Playwright MCP server. Navigate websites, click elements, fill forms, extract data, take screenshots, and perform full browser automation workflows.
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# Playwright MCP Skill
Browser automation powered by Playwright MCP server. Control Chrome, Firefox, or WebKit programmatically.
Installation
```bash npm install -g @playwright/mcp # Or npx @playwright/mcp ```
Install browsers (first time): ```bash npx playwright install chromium ```
Quick Start
Start MCP Server (STDIO mode) ```bash npx @playwright/mcp ```
Start with Options ```bash # Headless mode npx @playwright/mcp --headless
# Specific browser npx @playwright/mcp --browser firefox
# With viewport npx @playwright/mcp --viewport-size 1280x720
# Ignore HTTPS errors npx @playwright/mcp --ignore-https-errors ```
Common Use Cases
1. Navigate and Extract Data ```python # MCP tools available: # - browser_navigate: Open URL # - browser_click: Click element # - browser_type: Type text # - browser_select_option: Select dropdown # - browser_get_text: Extract text content # - browser_evaluate: Run JavaScript # - browser_snapshot: Get page structure # - browser_close: Close browser ```
2. Form Interaction ``` 1. browser_navigate to form URL 2. browser_type into input fields 3. browser_click to submit 4. browser_get_text to verify result ```
3. Data Extraction ``` 1. browser_navigate to page 2. browser_evaluate to run extraction script 3. Parse returned JSON data ```
MCP Tools Reference
| Tool | Description | |------|-------------| | `browser_navigate` | Navigate to URL | | `browser_click` | Click element by selector | | `browser_type` | Type text into input | | `browser_select_option` | Select dropdown option | | `browser_get_text` | Get text content | | `browser_evaluate` | Execute JavaScript | | `browser_snapshot` | Get accessible page snapshot | | `browser_close` | Close browser context | | `browser_choose_file` | Upload file | | `browser_press` | Press keyboard key |
Configuration Options
```bash # Security --allowed-hosts example.com,api.example.com --blocked-origins malicious.com --ignore-https-errors
# Browser settings --browser chromium|firefox|webkit --headless --viewport-size 1920x1080 --user-agent "Custom Agent"
# Timeouts --timeout-action 10000 # Action timeout (ms) --timeout-navigation 30000 # Navigation timeout (ms)
# Output --output-dir ./playwright-output --save-trace --save-video 1280x720 ```
Examples
Login to Website ``` browser_navigate: { url: "https://example.com/login" } browser_type: { selector: "#username", text: "user" } browser_type: { selector: "#password", text: "pass" } browser_click: { selector: "#submit" } browser_get_text: { selector: ".welcome-message" } ```
Extract Table Data ``` browser_navigate: { url: "https://example.com/data" } browser_evaluate: { script: "() => { return Array.from(document.querySelectorAll('table tr')).map(r => r.textContent); }" } ```
Screenshot ``` browser_navigate: { url: "https://example.com" } browser_evaluate: { script: "() => { document.body.style.zoom = 1; return true; }" } # Screenshot saved via --output-dir or returned in response ```
Security Notes
- By default restricts file system access to workspace root
- Host validation prevents navigation to untrusted domains
- Sandboxing enabled by default (use `--no-sandbox` with caution)
- Service workers blocked by default
Troubleshooting
```bash # Update browsers npx playwright install chromium
# Debug mode npx @playwright/mcp --headless=false --output-mode=stdout
# Check installation playwright-mcp --version ```
Links
Use Cases
- Automate browser interactions for web scraping and testing
- Extract structured data from websites using headless browser automation
- Control browsers via MCP protocol for AI-driven web automation
- Navigate websites, fill forms, and capture screenshots programmatically
- Scrape dynamic JavaScript-rendered content that simple HTTP requests cannot access
Pros & Cons
Pros
- +Extremely popular with 23,439+ downloads indicating strong community validation
- +Community-endorsed with 89 stars on ClawHub
- +Clean CLI interface integrates well with automation pipelines and AI agents
- +API-based architecture allows flexible integration with various platforms
Cons
- -Requires API key configuration — not free or self-contained
- -Assumes specific backend architecture patterns that may not match all projects
- -Error handling patterns may need adaptation for production use
FAQ
What does Playwright MCP do?
What platforms support Playwright MCP?
What are the use cases for Playwright MCP?
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Next Step
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