# TOONer

> Use this tool when you need to optimize data exchange between LLMs and MCP servers, converting JSON responses to TOON format to reduce token usage by approximately 40%. It solves the problem of inefficient data transfer, making it ideal for applications where token efficiency is crucial. The TOONer tool takes JSON responses as input and outputs TOON-formatted data, making it a seamless integration for existing MCP server setups.

Canonical page: https://skillsregistry.net/skills/chaindead-tooner  
JSON: https://api.skillsregistry.net/v1/skills/chaindead-tooner

## Description

MCP proxy that wraps any MCP server and transparently converts JSON responses in tools/call to TOON format — a token-efficient alternative to JSON optimized for LLMs (~40% fewer tokens).

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m3ie8ncd3m)
- **Repository:** <https://github.com/chaindead/tooner>

## 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": "chaindead-tooner"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chaindead-tooner` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chaindead-tooner/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