A
licenseNot graded
qualityD
maintenanceConverts JSON data and system prompts to and from TOON (Token-Oriented Object Notation) format, reducing token usage by 30-60% when interacting with LLMs while preserving data structure.
MIT
TOON MCP Server
by elminson
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ASON MCP Serverofficial
AlicenseNot gradedqualityCmaintenanceEnables compression and decompression of JSON data using the token-optimized ASON format, reducing token usage by 20-60% for LLM applications.8 npmMIT- FlicenseAqualityDmaintenanceProvides sandboxed code execution and data processing for CSVs and logs to achieve over 95% token savings. It enables secure multi-language execution and progressive tool disclosure to optimize LLM context usage.7-
TDQS
A3.7/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a distinct and non-overlapping purpose: toon_analyze assesses potential savings, toon_encode converts data to TOON format, toon_decode reverts TOON to original formats, and toon_optimize_prompt specifically handles prompt optimization. There is no ambiguity in tool selection.
Naming Consistency5/5
All tools follow a consistent 'toon_' prefix with a clear verb_noun pattern (e.g., toon_analyze, toon_encode, toon_decode, toon_optimize_prompt). This uniformity makes the tool set predictable and easy to understand.
Tool Count5/5
With 4 tools, the server is well-scoped for its purpose of TOON encoding and optimization. Each tool serves a specific function in the data processing workflow, and there are no extraneous or missing tools for this focused domain.
Completeness4/5
The tool set covers the core TOON workflow comprehensively: analyze, encode, decode, and optimize prompts. A minor gap might be the lack of a tool for batch processing or handling specific edge cases, but the existing tools allow agents to perform essential operations without dead ends.
Maintenance
ActivityInactive
ResponsivenessNo issues