token-saver
Related Servers
Alternatives to token-saver
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceProvides MCP tools to profile and optimize LLM conversation context, identifying token waste and applying deterministic fixes to reduce context window usage.501 npm1MIT
- AlicenseAqualityCmaintenanceA read-only MCP server that reports token usage by agents and models, and recommends the cheapest safe model and effort level for a given task, helping to reduce token waste.21MIT
- AlicenseNot gradedqualityDmaintenanceEnables analyzing and optimizing context window token usage by measuring, compressing, and eliminating waste from MCP tool definitions.30 npmMIT
- AlicenseBqualityFmaintenanceTrack LLM token costs across Claude, GPT and Gemini. MCP server + CLI with optimization hints and $ savings estimates.88 npm1MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that analyzes AI agent session logs to find token waste and optimization opportunities.17 npmMIT
- AlicenseNot gradedqualityAmaintenanceMCP server that minimizes LLM token usage by compressing, summarizing, filtering, chunk-referencing, and pruning large context before it reaches the model, with heuristic or local-SLM smart actions, caching, and token counting.21 npmMIT
TDQS
Scored across 6 tools
Each tool targets a distinct aspect of token analysis and suppression: conversation history analysis, single output check, session statistics, reset, mode switching, and threshold configuration. No overlap in purpose.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., analyze_history, check_output, set_mode), making them predictable and easy to understand.
With 6 tools, the server is well-scoped for its domain. Each tool serves a necessary function without redundancy or missing core operations.
The tool set covers all essential operations: analysis, monitoring, statistics, configuration, and reset. There are no obvious gaps for the stated purpose of token waste detection and suppression.