# toon-parse-mcp

> Use this tool when you need to optimize code files for AI processing by removing unnecessary characters and converting data to TOON format, reducing token usage and improving efficiency. It takes in code files as input, strips comments and whitespace, and outputs the optimized files in TOON format. Ideal for use cases where token limits are a concern, such as large-scale AI model training and data processing.

Canonical page: https://skillsregistry.net/skills/ankitpal181-toon-parse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ankitpal181-toon-parse-mcp

## Description

An MCP server that helps AI agents reduce token usage by converting data to TOON format and stripping comments and unnecessary whitespace from code files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zl6ekwgup1)
- **Repository:** <https://github.com/ankitpal181/toon-parse-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": "ankitpal181-toon-parse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ankitpal181-toon-parse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ankitpal181-toon-parse-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