A
licenseNot graded
qualityB
maintenanceMCP server that asks users clarifying questions when uncertain, remembers their choices using local embeddings, and automatically answers similar future queries based on learned preferences.
MIT
Metacognitive Compute Scheduler
by LZF1111
Related Servers
Alternatives to Metacognitive Compute Scheduler
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceAn MCP server that provides a reasoning sidekick for tool-using agents with a single 'think' tool for tackling complex problems. It allows agents to consult powerful reasoning models like Claude Opus or GPT-5 only when needed, keeping costs low while maintaining control over side effects.131 npm3MIT
- AlicenseCqualityAmaintenanceReflexive Memory for AI Agents - MCP Server. Remembers, forgets, questions, and bites.295MIT
- AlicenseBqualityDmaintenanceAn advanced MCP server implementing diagrammatic reasoning with memory-augmented spatial exploration, enabling structured chain-of-thought reasoning through visual reasoning spaces.18MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server enabling AI agents to record, query, and share structured problem-solving experiences with human review and confidence decay.2 npmMIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that reduces token usage by lazily loading skills and tools only when needed, and routing repetitive subtasks to ML backends instead of the LLM.Apache 2.0
TDQS
B3.4/5.0
Scored across 9 tools
Disambiguation5/5
Each tool has a distinct and specific purpose: session management, decision-making, outcome reporting, calibration, etc. There is no overlap or ambiguity between tools.
Naming Consistency4/5
Most tools follow a clear verb_noun pattern (e.g., close_session, decide_step), but 'new_task' uses an adjective_noun pattern and 'task_feedback' is ambiguous, causing minor inconsistency.
Tool Count5/5
With 9 tools covering session lifecycle, decision, learning, and monitoring, the count is well-scoped for the intended domain without being excessive or insufficient.
Completeness5/5
The tool set covers the full metacognitive scheduling cycle: session/task initiation, step decision, outcome reporting, feedback, calibration, and prototype management. No obvious gaps.
Maintenance
ActivityInactive
ResponsivenessNo issues