claude-token-saver-mcp
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TDQS
Scored across 11 tools
Each tool has a clearly distinct purpose: metrics, model listing, downloading, task offloading (single and batch), context compression, cost dashboard, model recommendation, VRAM preloading, configuration, and automated setup. No two tools overlap in functionality.
All tools follow the verb_noun snake_case pattern without exception. Names like 'get_metrics', 'offload_work', 'batch_offload', and 'auto_setup' are predictable and consistent.
11 tools is appropriate for a server focused on saving tokens via local LLMs. Each tool addresses a specific aspect (model management, task offloading, monitoring, configuration) without being excessive or insufficient.
The tool set covers the full workflow: model installation, recommendation, preloading, offloading, context compression, and monitoring. Minor gaps exist: there is no tool to unload models from VRAM or delete models, but these are not critical for the primary use case.