AI automation skill that enables AI assistants to control a web browser. Operations teams can automate web-based tasks, such as data entry, form filling, and web scraping. Integrates with Python-based workflows and supports Claude agents.
git clone https://github.com/Saik0s/mcp-browser-use.gitThe mcp-browser-use skill is an intermediate-level AI automation tool designed to streamline various web-based tasks. This skill enables users to automate data extraction from e-commerce websites for price comparisons, fill out online forms for user registrations or surveys, navigate through multiple pages to gather research information, and perform automated testing of web applications by simulating user interactions. By leveraging this skill, users can significantly reduce the time spent on repetitive web tasks, allowing them to focus on more strategic initiatives. One of the key benefits of the mcp-browser-use skill is its ability to execute complex workflows that require multiple steps within a web environment. Although the exact time savings are unknown, automating these processes can lead to substantial efficiency gains. For developers and product managers, this means less manual intervention and more time dedicated to enhancing product features or improving user experiences. The skill's medium GTM relevance indicates that it is well-suited for teams looking to enhance their automation capabilities without extensive overhead. This skill is particularly beneficial for developers, product managers, and AI practitioners who are involved in tasks that require frequent interaction with web interfaces. For instance, data engineers can utilize it to automate the extraction of large datasets from various online sources, while product managers can streamline user onboarding processes by automating form submissions. Additionally, quality assurance teams can leverage this skill for automated testing, ensuring that web applications perform as expected under various scenarios. Implementing the mcp-browser-use skill takes approximately 30 minutes, making it accessible for teams with limited time resources. While the complexity is rated as intermediate, users will find that the documentation provided on GitHub offers clear guidance for setup and execution. By integrating this skill into AI-first workflows, organizations can enhance their operational efficiency, reduce human error, and drive better outcomes in their web-related tasks.
Automate data extraction from e-commerce websites for price comparison.
Fill out online forms automatically for user registration or surveys.
Navigate through multiple pages of a website to gather information for research.
Perform automated testing of web applications by simulating user interactions.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Saik0s/mcp-browser-useCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Please automate the process of [TASK] for my [COMPANY] in the [INDUSTRY] industry. Use the mcp-browser-use skill to gather [DATA] and perform the necessary actions on the website.
### Automated Task Report **Task:** Data Collection from Company Website **Date:** October 1, 2023 **Summary:** The automation successfully navigated to the [COMPANY] website and collected the following data: - **Product Listings:** - Product A: $29.99 - Product B: $49.99 - **Contact Information:** - Email: contact@company.com - Phone: (123) 456-7890 **Next Steps:** - Review the collected data for accuracy. - Use this information for the upcoming marketing campaign.
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