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Knowledge Management · Developer Tools

landicefu/divide-and-conquer-mcp-server
A Model Context Protocol (MCP) server that enables AI agents to break down complex tasks into manageable pieces using a structured JSON format.
npx -y @landicefu/divide-and-conquer-mcp-server{
"mcpServers": {
"divide-and-conquer": {
"command": "npx",
"args": [
"-y",
"@landicefu/divide-and-conquer-mcp-server"
]
}
}
}Structured JSON Format: Instead of plain text, uses a JSON structure to store task information
Task Tracking: Includes checklist functionality with completion status tracking
Context Preservation: Dedicated fields for task context and detailed descriptions
Progress Monitoring: Easy visualization of completed vs. remaining tasks
Task Ordering: Maintains the order of tasks for sequential execution
Task Insertion: Ability to insert new tasks at specific positions in the checklist
Metadata: Track additional information like tags, priority, and estimated completion time
Notes and Resources: Store additional notes and resources related to the task
initialize_task
Creates a new task with the specified description and optional initial checklist items.
update_task_description
Updates the main task description.
update_context
Updates the context information for all tasks.
add_checklist_item
Adds a new item to the checklist.
update_checklist_item
Updates an existing checklist item.
mark_task_done
Marks a checklist item as done.
mark_task_undone
Marks a checklist item as not done.
remove_checklist_item
Removes a checklist item.
reorder_checklist_item
Moves a checklist item to a new position.
add_note
Adds a note to the task.
add_resource
Adds a resource to the task.
update_metadata
Updates the task metadata.
clear_task
Clears the current task data.
get_checklist_summary
Returns a summary of the checklist with completion status.
get_current_task_details
Retrieves details of the current task (first uncompleted task) with full context, along with all other tasks with limited fields.
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

1Panel-dev/MaxKB
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

supermemoryai/supermemory
State-of-the-art memory and context engine for AI.

topoteretes/cognee
Cognee - The Free Open-Source AI Memory Platform for Agents.

makenotion/notion-mcp-server
For the best experience, use Remote Notion MCP, our official hosted MCP server. This repository is a separate, self-hosted MCP server implementation that is no longer actively maintained or supported. Please use Remote Notion MCP instead.

cyberagiinc/devdocs
[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.