PCIRCLE-AI

Toonify MCP — Development skill for Claude Code

Development community

Context compression plugin for Claude Code.

How to install Toonify MCP

This entry records only its repository, not the path inside it, so there is no exact command to give. Open PCIRCLE-AI/toonify-mcp and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Toonify MCP does

Context compression plugin for Claude Code. Automatically trims large tool output—JSON, YAML, stack traces, and logs—before it enters the context window.

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README

Toonify MCP

**[English](README.md) | [繁體中文](README.zh-TW.md) | [日本語](README.ja.md) | [Español](README.es.md) | [Français](README.fr.md) | [Deutsch](README.de.md) | [한국어](README.ko.md) | [Русский](README.ru.md) | [Português](README.pt.md) | [Tiếng Việt](README.vi.md) | [Bahasa Indonesia](README.id.md)**

![Toonify MCP — context compression for Claude Code](docs/social-preview/v3-before-after.svg)

Context compression plugin for Claude Code. Automatically trims large tool output—JSON, YAML, stack traces, and logs—before it enters the context window.

Works as a Claude Code plugin (automatic, zero-config) or as an MCP server (on-demand).

Features

  • Compresses large JSON, YAML, and API responses
  • Reduces long test failures and stack traces
  • Runs automatically in the background—no change to your Claude Code workflow required

Limitations

Skipped for short text, very small files, and content where exact original formatting must be preserved.

Installation

git clone https://github.com/PCIRCLE-AI/toonify-mcp.git
cd toonify-mcp
npm install
npm run build
npm install -g .
toonify-mcp setup
toonify-mcp doctor

`toonify-mcp setup` adds the local marketplace and installs, updates, or re-enables the plugin automatically.

Check status

toonify-mcp status

MCP mode (optional)

toonify-mcp setup mcp
claude mcp list

`claude mcp list` should show `toonify: toonify-mcp - ✓ Connected`.

Pipe filter (any agent CLI)

`toonify-mcp compress` reads stdin, compresses what's safe to compress (JSON/YAML → TOON, repetitive logs collapsed; source code, prose, and precision-sensitive numbers pass through untouched), and writes to stdout. It never breaks a pipe — when compression doesn't apply, the input comes out byte-for-byte.

curl -s https://api.example.com/users | toonify-mcp compress

This works with any agent CLI, because output is compressed *before* it enters the model's context. To have an agent adopt it, add a ru