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Automate browsers with anti-detect fingerprinting, element targeting, and accessibility snapshots.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "camoufox-mcp-python" yet — see the docs or source repo.
Use camoufox-mcp-python to open my test site, simulate a real browser fingerprint, complete login, search, and checkout, and target buttons and inputs by ref; finally return step results and failure screenshots.
An end-to-end test execution report with step status, key screenshots, and failure details.
Use camoufox-mcp-python to visit a target webpage, extract the accessibility snapshot, list major regions, buttons, forms, and interactive elements, and flag potentially missing accessibility labels.
A summary of the page accessibility structure plus an element inventory and issue hints for review.
With camoufox-mcp-python, access a target site using an anti-detect fingerprint, perform search and pagination scraping, avoid fragile CSS selectors by using stable ref-based targeting, and export structured data.
Structured collected data with stable automation steps and any exception logs.
Scrape web pages privately with request monitoring and JavaScript disabled.
Automate browser tasks, capture console logs, and take screenshots for web workflows.
Let AI browse via your real Chrome for extraction and multi-step workflows.
Control a browser with AI for automation, extraction, interception, and screenshots.
Automate browsing, form filling, login, and page interactions through a Chrome MCP server.
Extract, analyze, and clone front-end code with browser automation.