Divide and Conquer MCP Server
by MCP-Mirror
The Divide and Conquer MCP Server enables AI agents to break down complex tasks into manageable pieces using a structured JSON format. It's designed for tasks needing decomposition and progress tracking across multiple conversations.
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What is Divide and Conquer MCP Server?
The Divide and Conquer MCP Server is a Model Context Protocol (MCP) server designed to help AI agents manage complex tasks by breaking them down into smaller, more manageable sub-tasks. It uses a structured JSON format to store task information, checklists, and context, facilitating progress tracking and context preservation.
How to use Divide and Conquer MCP Server?
To use the server, first add it to your MCP configuration using either npx or by installing from source. Then, use the provided tools like initialize_task, add_checklist_item, update_checklist_item, and get_current_task_details within your AI agent's conversations to manage and track tasks. Refer to the 'Quick Start' and 'Usage Examples' sections in the README for code snippets.
Key features of Divide and Conquer MCP Server
Structured JSON Format
Task Tracking with checklists
Context Preservation
Progress Monitoring
Task Ordering and Insertion
Metadata Support (tags, priority, completion time)
Notes and Resources storage
Comprehensive toolset for task manipulation
Use cases of Divide and Conquer MCP Server
Complex Software Development Tasks
Project Planning and Management
Research and Analysis
Breaking down large tasks into manageable pieces
Tracking progress across multiple conversations
FAQ from Divide and Conquer MCP Server
Where does the server store task data?
Where does the server store task data?
By default, the server stores task data in ~/.mcp_config/divide_and_conquer.json on macOS/Linux and C:\Users\username\.mcp_config\divide_and_conquer.json on Windows.
What happens if the task data file doesn't exist?
What happens if the task data file doesn't exist?
If the file doesn't exist when reading, the server returns an empty task structure and creates the file when you write to it next time.
How do I install the server?
How do I install the server?
You can install the server using either npx or by cloning the repository and building it from source. See the 'Installation' section in the README for detailed instructions.
What tools are available in the server?
What tools are available in the server?
The server provides a comprehensive set of tools, including initialize_task, add_checklist_item, update_checklist_item, mark_task_done, get_checklist_summary, and get_current_task_details, among others.
How do I contribute to the project?
How do I contribute to the project?
Contributions are welcome! Please feel free to submit a Pull Request.