Divide and Conquer MCP Server
by landicefu
A Model Context Protocol (MCP) server that enables AI agents to break down complex tasks into manageable pieces using a structured JSON format. It helps track progress and maintain context across multiple conversations.
Last updated: N/A
What is Divide and Conquer MCP Server?
The Divide and Conquer MCP Server is designed for complex tasks that need to be broken down into manageable pieces. It uses a structured JSON format to store task information, checklists, and context, making it easier to track progress and maintain context across multiple conversations.
How to use Divide and Conquer MCP Server?
First, add the server to your MCP configuration. Then, use the provided tools like initialize_task, add_checklist_item, update_checklist_item, and get_current_task_details to manage and track your tasks. Refer to the usage examples in the README for detailed instructions.
Key features of Divide and Conquer MCP Server
Structured JSON Format
Task Tracking with Checklist Functionality
Context Preservation with Dedicated Fields
Progress Monitoring of Completed vs. Remaining Tasks
Task Ordering for Sequential Execution
Task Insertion at Specific Positions
Metadata Tracking (tags, priority, estimated completion time)
Notes and Resources Storage
Use cases of Divide and Conquer MCP Server
Complex Software Development Tasks
Project Planning and Management
Research and Analysis
Breaking down large tasks into smaller, manageable pieces
FAQ from Divide and Conquer MCP Server
Where is the task data stored?
Where is the task data stored?
By default, the task data is stored 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 configuration file doesn't exist?
What happens if the configuration file doesn't exist?
If the file doesn't exist when reading, the server returns an empty task structure. It 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 npx (recommended) or by cloning the repository and building it from source. Refer to 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 tools like initialize_task, add_checklist_item, update_checklist_item, mark_task_done, get_checklist_summary, and get_current_task_details for managing tasks and checklists.
How can I contribute to the project?
How can I contribute to the project?
Contributions are welcome! Please feel free to submit a Pull Request.