# toon-mcp

> toon-mcp — vikyek-toon-mcp. Use this tool when you need to compress JSON payloads using Token-Optimized Object Notation (TOON) for efficient data transfer, solving problems of large data sizes and slow transmission speeds. It takes in JSON data as input and outputs compressed TOON data, providing a fast and lightweight compression solution. Ideal for use cases where bandwidth and storage are limited, such as in web applications or IoT devices.

Canonical page: https://skillsregistry.net/skills/vikyek-toon-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vikyek-toon-mcp

## Description

Pure Python FastMCP Server for Token-Optimized Object Notation (TOON) JSON payload compression

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Vikyek/toon-mcp)

## 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": "vikyek-toon-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vikyek-toon-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vikyek-toon-mcp/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