This page documents the MCP (Model Context Protocol) plugin automation tasks completed during our testing session.

1. Puppeteer Plugin:

• Successfully navigated to https://www.inference.ai/ using puppeteer_navigate function
• Captured a full-page screenshot (800x600) and saved it as 'example.png' using puppeteer_screenshot function
• The screenshot showed Inference.ai's GPU virtualization service homepage with dark theme and pink accents

2. Filesystem Plugin:

• Checked allowed directories using list_allowed_directories function
• Created a new directory 'mcp_test' in /Users/duncanyu/Documents/code/AI/Week 1/ using create_directory
• Created a file 'hello.txt' with content 'Hello MCP!' using write_file function

3. Sequential Thinking Plugin:

• Used 10 sequential thinking steps to create a comprehensive technical interview preparation plan
• Generated a 3-4 week structured plan with phases: Research & Foundation, Core Technical Preparation, and Polish & Practice
• Included daily activities, progress metrics, and adaptation guidelines for different timeframes and experience levels

4. Notion Plugin:

• Searched for available pages and databases using API-post-search function
• Found and accessed the 'MCP Agent DB' database using API-retrieve-a-database
• Created this new page titled 'MCP Automation Test' using API-post-page function
• Added structured content with paragraphs and bullet points using API-patch-block-children function

Summary: All MCP plugins functioned successfully, demonstrating web automation, file system operations, structured thinking processes, and content management capabilities.