F
licenseA
qualityD
maintenanceRoutes commodity NLP tasks like summarization and translation to free-tier LLMs, saving Claude tokens for complex work.
12
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tokens-saver-mcp
by AndersHsueh
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TDQS
A3.8/5.0
Scored across 7 tools
Disambiguation5/5
Each tool has a distinct, non-overlapping purpose: classification, code patch generation, diff summarization, JSON extraction, rewriting, text summarization, and task extraction. No ambiguity between tools.
Naming Consistency4/5
All tools use the 'tsm_' prefix and snake_case. Most follow a verb_noun pattern (classify, summarize, rewrite), though 'tsm_codegen_small_patch' is slightly less consistent with its compound noun. Overall, naming is clear and predictable.
Tool Count5/5
With 7 tools, the server is well-scoped for a utility focused on token-saving and text processing. Each tool addresses a common need without being excessive or insufficient.
Completeness4/5
The tool set covers major text operations: classification, extraction, transformation, and summarization. Minor gaps exist (e.g., no data masking or bulk processing), but the core functionality for offloading to budget models is complete.
Maintenance
ActivityInactive
ResponsivenessNo issues