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2025-04-13

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Weekly Report System

The Weekly Report System is designed to facilitate the creation and management of weekly reports, which are stored in the reports directory with timestamps for easy tracking.

Setup

To get started with the Weekly Report System, follow these steps:

  1. Install Dependencies: Ensure you have all the necessary Python packages by running:

    pip install -r requirements.txt
    
  2. Run the MCP Server: Start the MCP server to enable report creation:

    python weekly_report_server.py
    

Usage

The system offers two methods for creating weekly reports:

Method 1: Direct Python Script

Create a weekly report by executing the create_weekly_report.py script:

python create_weekly_report.py

This script utilizes the write_weekly_report function from weekly_report_server.py to generate the report content.

Method 2: MCP Tool (Requires VSCode with Claude Extension)

Leverage the MCP server functionality with the Claude extension in VSCode:

  1. MCP Configuration: Ensure the MCP settings are correctly configured in .fastmcp.toml and mcp.json.

  2. VSCode Extension Configuration: Verify the extension settings in:

    ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
    

Once configured, use the write_weekly_report tool from the MCP server to create reports directly within VSCode.

Report Format

Reports are stored in the reports directory with filenames formatted as weekly_report_YYYYMMDD_HHMMSS.txt.

The recommended structure for reports is as follows:

Weekly Report - [Date]

Accomplishments:
1. [Accomplishment 1]
2. [Accomplishment 2]
3. [Accomplishment 3]
4. [Accomplishment 4]

Next Steps:
1. [Next Step 1]
2. [Next Step 2]
3. [Next Step 3]
4. [Next Step 4]

Project Files

  • weekly_report_server.py: The core server file that defines the write_weekly_report function and sets up the MCP server.
  • create_weekly_report.py: A script that calls the write_weekly_report function to generate a report.
  • test_weekly_report.py: A testing script for validating the write_weekly_report function.
  • reports/: The directory where all generated reports are saved.

Additional Information

For further assistance or inquiries, please refer to the project's documentation or contact the development team.

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    Reviews

    2 (1)
    Avatar
    user_kOSZGvMJ
    2025-04-16

    MCPDemo by tobecrazy is an impressive application. The product is very well developed and offers a seamless user experience. The documentation on GitHub is comprehensive and easy to follow. It's evident that the author put a lot of effort into making this application user-friendly. Highly recommended for anyone looking to explore MCP applications. Check it out at https://github.com/tobecrazy/MCPDemo.