A
licenseNot graded
qualityD
maintenanceEnables AI agents to maintain context across conversation sessions by saving and retrieving summaries of key points from past interactions.
205 npm
MIT
mcp-working-context-optimizer
by globalpocket
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TDQS
B3.3/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: compress_history summarizes and clears recent actions, log_action records actions/results, set_core_objective sets a core goal, and update_current_task updates the priority task. No tool overlaps with another.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with underscores (compress_history, log_action, set_core_objective, update_current_task). No mixing of conventions or inconsistent verb styles.
Tool Count5/5
With 4 tools, the server is well-scoped for managing working context. Each tool covers a distinct aspect (logging, compressing, setting objectives, updating tasks) without unnecessary clutter.
Completeness4/5
The tool set covers core lifecycle operations: setting objectives, updating tasks, logging actions, and compressing history. A minor gap exists for reading current context or viewing history, but the surface is largely complete for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo issues