
cbruyndoncx/mcp-tasks-organizer
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An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository.
概要
An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository. This server helps you track AI-generated plans and recommendations as actionable specifications. - Automatically extracts tasks from Cursor agent plans - Creates a .tasks folder in your repository for organized task management - Uses descriptive filenames (e.g., "refactor-authentication.md") for easy identification - Automatically marks completed task lists with a ✅ prefix - Formats plans with proper Markdown structure - Organizes content into Overview, Implementation Details, and Next Steps - Integrates with Claude for Desktop and other MCP clients - Python 3.10 or higher - pip or another Python package manager 1. Install Claude for Desktop from claude.ai/download 2. Configure Claude for Desktop to use this MCP server: Open ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.
README
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MCP Tasks Organizer
An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository. This server helps you track AI-generated plans and recommendations as actionable specifications.
Features
- Automatically extracts tasks from Cursor agent plans
- Creates a
.tasksfolder in your repository for organized task management - Uses descriptive filenames (e.g., “refactor-authentication.md”) for easy identification
- Automatically marks completed task lists with a ✅ prefix
- Formats plans with proper Markdown structure
- Organizes content into Overview, Implementation Details, and Next Steps
- Integrates with Claude for Desktop and other MCP clients
Installation
Prerequisites
- Python 3.10 or higher
- pip or another Python package manager
Quick Install
For Unix-based systems (macOS, Linux):
# Clone the repository
git clone https://github.com/yourusername/mcp-tasks-organizer.git
cd mcp-tasks-organizer
# Run the installation script
./install.sh
For Windows:
# Clone the repository
git clone https://github.com/yourusername/mcp-tasks-organizer.git
cd mcp-tasks-organizer
# Run the installation script
install.bat
Manual Installation
# Clone the repository
git clone https://github.com/yourusername/mcp-tasks-organizer.git
cd mcp-tasks-organizer
# Create and activate a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Install the package
pip install -e .
Usage with Claude for Desktop
-
Install Claude for Desktop from claude.ai/download
-
Configure Claude for Desktop to use this MCP server:
Open
~/Library/Application Support/Claude/claude_desktop_config.json(macOS) or%APPDATA%\Claude\claude_desktop_config.json(Windows) and add:{ "mcpServers": { "tasks-organizer": { "command": "python", "args": ["-m", "tasks_organizer"] } } } -
Restart Claude for Desktop
-
Use the server by asking Claude about your cursor plans, for example:
- “Convert this cursor plan into a task list called ‘Refactor Authentication’ with description ‘auth-refactor’: [paste plan]”
- “Create a markdown task list from this cursor agent output with title ‘Database Migration’ and description ‘db-migration’: [paste output]”
- “Mark task 2 in the auth-refactor task list as complete”
- “List all task files in my repository”
Available Tools
The server provides these tools:
1. create_task_list
Create a new task list and save it to the .tasks folder.
Parameters:
title: Title for the task listdescription: Short 2-3 word description for the filename (e.g., “refactor-authentication”)repo_path: Path to the repository root (defaults to current directory)
インストール
This server does not publish a one-line install command.
Open the repository installation guide MCP 初心者?mcpskill.org のガイドから始めましょう →設定
{
"mcpServers": {
"tasks-organizer": {
"command": "python",
"args": ["-m", "tasks_organizer"]
}
}
}