Chain of Thought Task Manager
MCP Chain of Thought is a task management system built for AI agents that emphasizes structured reasoning through chain-of-thought, reflection, and style consistency. Developed by liorfranko, it converts natural language into organized development tasks with dependency tracking, implementation guides, and verification criteria. The system features a workflow that guides agents through planning, analysis, reflection, task decomposition, and execution phases, with built-in memory management to prevent context loss during complex problem-solving. It's particularly valuable for developers working with reasoning-focused AI systems that need to maintain coherent thought processes 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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/liorfranko/mcp-chain-of-thought
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Chain of Thought Task Manager 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.