Personal Productivity Agent MCP Server

What is Personal Productivity Agent?

Personal Productivity Agent is a Python-based tool for Windows systems that helps with file operations, system information, and productivity tasks, and uses Google’s Gemini LLM to analyze Windows Event Logs. It can run as an interactive command-line assistant or as an MCP server for programmatic integration.

How to use Personal Productivity Agent?

Ensure Python 3.x is installed, set the GEMINI_API_KEY environment variable, and install the required package (google-generativeai). Run python main_agent.py for the interactive CLI, or python main_agent.py --mcp-mode to start the MCP server that accepts JSON requests on stdin.

Key features of Personal Productivity Agent

• Find, move, rename files and create directories (with confirmation)
• Get disk usage, memory, CPU, and network information
• Launch applications and find duplicate files
• Summarize documents (currently using a mock LLM)
• Retrieve upcoming events from .ics calendar files
• Set desktop reminders/notifications
• Analyze Windows Event Logs with Gemini LLM (suggested causes and fixes)

Use cases of Personal Productivity Agent

• Automate file organization and cleanup tasks on a Windows system
• Monitor system health (disk, memory, network) from the command line
• Analyze Windows Event Logs with LLM explanations and troubleshooting steps
• Integrate the agent as a backend tool for a larger orchestration system via MCP
• Schedule or trigger desktop reminders based on calendar events