A
licenseNot graded
qualityC
maintenanceA local-first MCP server for AI coding agents that shares structured execution state, routes context deltas, and provides preflight nudges to prevent conflicts and stale decisions.
MIT
Task Hub MCP
by zjuphD
Related Servers
Alternatives to Task Hub MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server that enables multiple AI agents to share memory, coordinate tasks, and collaborate effectively across IDEs and CLI tools.42 npm21MIT
- FlicenseNot gradedqualityBmaintenanceA local MCP server that connects AI coding agents like Claude, Codex, and Gemini, enabling task routing, cross-model debates, and token-efficient context sharing without external APIs.19-
- AlicenseAqualityDmaintenanceA local MCP server that enables multiple AI coding tools to share structured project state (decisions, tasks, bugs) so they coordinate without re-explaining.5MIT
- AlicenseNot gradedqualityBmaintenanceA vendor-neutral MCP server that enables coding agents to delegate tasks, share context, and work as a team through a shared blackboard and task queue.3 npmMIT
threadctx-mcpofficial
AlicenseAqualityDmaintenanceShared memory MCP server for AI coding agents, enabling context sharing across sessions with local SQLite or cloud-based semantic search, compatible with Claude Code and Cursor.271 npm1MIT
TDQS
A4.2/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a distinct lifecycle step: init creates, save checkpoints, list queries, load restores, resume reactivates, and stop pauses/archives. The only potential overlap between task_load and task_resume is resolved by task_resume's explicit role in reactivating paused tasks, while task_load requires a name and returns context.
Naming Consistency5/5
All tools follow the consistent pattern task_<verb> in snake_case, with clear verbs (init, save, list, load, resume, stop). This makes the toolset predictable and easy to navigate.
Tool Count5/5
With six tools, the server is well-scoped for task tracking: creation, state saving, listing, loading, resuming, and stopping. No redundancy or unnecessary tools are present.
Completeness5/5
The task lifecycle is fully covered: init creates a task, save persists progress, load retrieves context, resume reactivates, stop pauses or archives, and list provides an overview. No obvious missing operations for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo recent community issues