# datoon

> datoon — andrii-su-datoon. Use this tool when you need to convert structured data into TOON format for efficient tokenization, and utilize its analysis capabilities to process JSON, CSV, YAML, XML, and other data formats. It solves data conversion and analysis problems by providing a seamless MCP server experience. The tool takes in various data formats as input and outputs TOON-formatted data, ideal for applications requiring tokenized data processing.

Canonical page: https://skillsregistry.net/skills/andrii-su-datoon  
JSON: https://api.skillsregistry.net/v1/skills/andrii-su-datoon

## Description

An MCP server that converts structured data (JSON, CSV, YAML, XML, etc.) to TOON format only when it saves tokens, with tools for conversion and analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rec52toxft)
- **Repository:** <https://github.com/andrii-su/datoon>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "andrii-su-datoon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andrii-su-datoon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andrii-su-datoon/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt