mcp-working-context-optimizer
Related Servers
Alternatives to mcp-working-context-optimizer
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables coding agents to shrink bulky tool output, logs, test runs, and file dumps down to compact briefs, and to record and recall decisions in a small session ledger. This keeps long-running tasks within context limits while preserving errors, findings, and key notes.8 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to maintain context across conversation sessions by saving and retrieving summaries of key points from past interactions.402 npmMIT
- AlicenseNot gradedqualityBmaintenanceProvides deterministic context compaction and safety gating for AI agents, preserving original messages verbatim while dropping irrelevant ones and flagging destructive commands.2MIT
- AlicenseAqualityDmaintenanceEnables compressing an in-progress AI conversation into a structured context block preserving user goal, decisions, and state, then formats it for another AI to continue seamlessly.425 npm3MIT
- AlicenseAqualityFmaintenanceProvides AI chat history compression tools through token-based trimming and AI-powered summarization strategies to manage conversation context within token limits.241 npm5MIT
- AlicenseAqualityBmaintenanceStructures AI conversations into hierarchical thread trees, replacing full history with concise summaries to reduce token consumption and preserve context.1250 npm3MIT
TDQS
Scored across 4 tools
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.
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.
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.
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.