JSON2TOON MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| convert_to_toonC | Convert JSON to TOON format with specified compression level |
| convert_to_jsonB | Convert TOON format back to standard JSON |
| analyze_patternsC | Deep analysis of JSON patterns with AI-powered detection |
| get_optimal_strategyC | Get AI-recommended optimal compression strategy |
| calculate_metricsC | Calculate detailed compression metrics and savings |
| batch_convertC | Batch convert multiple JSON objects |
| smart_optimizeC | Automatically detect and apply optimal compression |
| compare_levelsC | Compare compression across all levels |
| validate_toonA | Validate TOON format and test round-trip conversion |
| suggest_abbreviationsC | Generate custom key abbreviations for your data |
| estimate_savingsC | Estimate compression savings without converting |
| get_server_statsC | Get comprehensive server statistics and performance metrics |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Conversion Statistics | Detailed conversion statistics and metrics |
| JSON2TOON Format Guide | Comprehensive guide to JSON2TOON format |
| Pattern Detection Guide | Guide to pattern detection and optimization |
| Performance Benchmarks | Compression performance benchmarks |
TDQS
Scored across 12 tools
Tools have distinct purposes overall, but some analytical tools like 'analyze_patterns', 'get_optimal_strategy', and 'smart_optimize' could be confused; however, descriptions help differentiate them.
Most tools follow a verb_noun pattern with snake_case, but 'smart_optimize' and 'batch_convert' deviate slightly from the typical verb_noun structure, though they remain readable.
Twelve tools cover the domain well—conversion, validation, analysis, optimization, batch processing, and metrics—without being excessive or sparse.
The tool set covers the full workflow: converting to/from TOON, validating, analyzing patterns, optimizing, estimating savings, and batch processing. No obvious gaps for the intended purpose.