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Automate browsers with fingerprint analysis, network interception, and behavior simulation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ruyi-mcp" yet — see the docs or source repo.
Use ruyi-mcp to open the target website, complete post-login clicks, fill the form, take a result screenshot, and return a step summary.
Returns the automation result, key execution steps, and related screenshots or page state details.
Use ruyi-mcp to analyze the current browser fingerprint, list items that may expose automation traits, and provide a summary.
Outputs fingerprint-related findings and notes on traits that may affect stealth or consistency.
Use ruyi-mcp to monitor network requests during page load, identify failed requests, and summarize possible causes.
Returns interception results, a list of failed requests, and brief conclusions for troubleshooting.
Developers can use it to drive a browser through page actions and verify login, form, or interaction flows. It is better suited than static checks for scenarios requiring real page behavior.
Researchers or developers can intercept network requests while visiting a page and inspect failed calls or unusual responses. This helps locate loading issues, API errors, or frontend behavior differences.
When fingerprint traits need to be analyzed or actions should resemble human behavior more closely, this tool can support those checks. It is useful for studying automation exposure points and interaction patterns.
It is a community MCP server for RuyiPage. The provided description says it offers 56 MCP tools for browser automation, fingerprint analysis, network interception, and human behavior simulation.
Based on the provided information, it mainly supports four capabilities: browser automation, browser fingerprint analysis, network request interception, and human behavior simulation. For the detailed tool list and parameters, see the source repository.
No README or installation docs were provided, so the runtime, keys, or deployment requirements cannot be confirmed here. See the source repository for the exact prerequisites.
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.
Automate browser tasks, inspect pages, run scripts, and capture diagnostics.
Automate browsers to capture web page console logs for debugging and testing.
Control a browser through MCP for web actions, form filling, and screenshots
Securely let AI control a real browser for web automation and extraction.