A
licenseA
qualityD
maintenanceConverts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.
3
17 npm
1
MIT
JSON to TOON
Server Details
Convert JSON to TOON (about 43% fewer LLM tokens) and TOON back to JSON. Free, no auth.
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- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
A4/5.0
Scored across 2 tools
Disambiguation5/5
The two tools are perfect inverses of each other (json_to_toon and toon_to_json), so there is no possible confusion about which one to call for a given direction of conversion. Their descriptions explicitly name the input and output formats.
Naming Consistency5/5
Both names follow the same snake_case source_to_target pattern, making the pair read as a clean symmetric set with a highly predictable convention.
Tool Count4/5
Two tools is minimal, but for a pure bidirectional converter it is exactly the right scope with no redundancy. It is slightly thin for a standalone server, though every tool earns its place.
Completeness5/5
A converter domain requires only encode and decode, and both directions are present, so the surface is fully covered with no dead ends.
Available Tools
2 toolsjson_to_toonConvert JSON to TOONARead-onlyInspect
Convert JSON to TOON (Token-Oriented Object Notation), a compact format that uses about 43% fewer LLM tokens than JSON on average. Best for uniform arrays of objects.
Inputs: json (required), delimiter.
toon_to_jsonConvert TOON to JSONARead-onlyInspect
Decode a TOON document back to pretty-printed JSON.
Inputs: toon (required).
Tool Schema Changelog
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Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceConverts 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.66 PyPIMIT
- AlicenseAqualityBmaintenanceEnables encoding JSON into compact TOON format and decoding TOON back to JSON, reducing token usage for LLM prompts.214Apache 2.0
- AlicenseAqualityDmaintenanceEnables users to convert structured data into Token-Oriented Object Notation (TOON) to reduce LLM token usage and costs by up to 70%. It provides tools for encoding, decoding, and analyzing data formats like JSON, CSV, and XML to optimize prompt efficiency.49 npm3MIT
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