feder-cr/invisible_playwright_mcp

Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation,...

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Summary Information

Updated 56 minutes ago
Added to GitGenius on October 8th, 2026
Created on September 29th, 2026
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 469
Total Stargazers: 2,736 (+2)
Total Subscribers: 149 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 14.6 hours
Mean response time: 16.2 days
90th percentile: 27.1 days
Tracked items: 448

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Issue Activity (beta)

Open issues: 3
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 0 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (226)
  • enhancement (125)
  • stale (83)
  • help wanted (31)
  • documentation (28)
  • good first issue (12)
  • question (12)
  • planned (6)

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Detailed Description

Invisible Playwright MCP is a Model Context Protocol server that enables AI agents to browse the web using stealth browser automation resistant to anti-bot detection and captcha systems.

The tool solves the problem of AI agents being blocked by anti-bot measures when attempting to interact with websites. It works by running Playwright browser automation on a specially configured Firefox instance designed to avoid detection by anti-bot systems and captcha services. This allows language models and autonomous agents to perform web browsing, scraping, and interaction tasks that would otherwise be blocked by security measures.

Developers should adopt this tool if they are building AI agents that need to reliably interact with websites protected by anti-bot defenses. It suits projects involving autonomous web scraping, job searching automation, computer use capabilities for language models, and general web automation where stealth is required. The tool integrates with the Model Context Protocol, making it compatible with Claude and other LLM platforms that support MCP servers.

The project's maintainers respond to new issues and pull requests within a day. Work in the issue tracker centers on bug fixes, feature enhancements, and documentation improvements.