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Intelligently converts structured data to TOON to reduce LLM token usage.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "datoon" MCP server from askskill: Run: claude mcp add 'io-github-andrii-su-datoon' -- uvx datoon
Evaluate whether this JSON structured data should be converted to TOON, and output TOON only if it saves tokens; otherwise keep the original structure: {"users":[{"id":1,"score":98},{"id":2,"score":87}]}Returns either TOON or the original structured data after evaluating token savings.
Process this batch of structured records through datoon, converting to TOON only when it reduces context length before sending to a downstream LLM.
Produces a compact data representation for LLM input, focused on avoiding unnecessary token costs.
Show the difference between the original structured format and TOON format for this data, and explain whether conversion is worthwhile for token savings.
Outputs both representations or a conversion decision, with a brief note on whether conversion is worthwhile.
Developers can use it to decide whether JSON or other structured data should be converted to TOON before sending it to an LLM. This helps preserve structured representation while reducing token cost when beneficial.
In analytics or research workflows that frequently pass structured outputs to an LLM, this gateway can apply conditional conversion. Its core value is switching to TOON only when it actually saves tokens.
It is a TOON gateway for structured data. Based on the description, it converts structured data to TOON only when doing so saves LLM tokens.
No. The description explicitly says it converts to TOON only when the conversion saves tokens; otherwise the original structured form should remain.
The provided material does not include installation steps, runtime details, or key requirements. See the source repository for specifics.
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