Divide and Conquer (Task Management)
The Divide and Conquer MCP server enables AI agents to break down complex tasks into manageable pieces using structured JSON storage. Developed by Landice Fu, it evolved from a simpler text-based approach to provide robust task tracking with checklist functionality, progress monitoring, and context preservation across multiple conversations. The implementation includes tools for initializing tasks, managing checklist items, tracking completion status, and retrieving task summaries, making it particularly valuable for complex software development projects, research activities, and project planning where context needs to be maintained across multiple interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Divide and Conquer (Task Management) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.