Plugin

toonify

Name: toonify
Author: pcircle-ai

Automatically runs bash scripts after PostToolUse events for mcp__finplan__.* tools to validate curl requests against an allowlist and check plugin version, enforcing security in MCP tool executions.

Bash

security

automation

Component Overview

Commands

Agents

Skills

PostToolUse

Hooks

MCP Servers

LSP Servers

Output Styles

Themes

Monitors

Install

npx claudepluginhub pcircle-ai/toonify-mcp --plugin toonify-mcp

Component Details

Hooks (1)

Review workflow modifications before installing

Event Hooks

1 hook across 1 event

README

🎯 Toonify MCP

Toonify MCP is an MCP server and Claude Code plugin for automatic token optimization in structured data and source-code workflows.

It is designed for teams that regularly send large JSON / CSV / YAML payloads or TypeScript / Python / Go source files into model context and want lower token usage without changing day-to-day workflow.

Structured data: 25-66% token reduction (typically ~48%)
Source code: 20-48% reduction on TypeScript / Python / Go
Docs and setup guides: https://toonify.pcircle.ai/

What's New in v0.6.0

✨ Pipeline Architecture + Code Compression!

✅ Pipeline engine — modular Detector → Router → Compressor → Evaluator architecture
✅ Code compression — TypeScript (37%), Python (48%), Go (32%) savings via heuristic-based comment/whitespace removal
✅ 6 compression layers — from safe (blank lines, inline comments) to aggressive (import summarization, repetitive pattern collapse)
✅ Hook upgraded — PostToolUse hook now compresses source code in addition to structured data
✅ Extensible design — add new formats by implementing a single Compressor interface
✅ Full backwards compatibility — all external APIs unchanged
✅ 196 tests (up from 157), comprehensive code review passed

Features

25-66% Token Reduction (typically ~48%) for JSON, CSV, YAML data
20-48% Code Compression for TypeScript, Python, Go source code
Pipeline Architecture - Extensible Detector → Compressor → Evaluator engine
Multilingual Support - Accurate token counting for 15+ languages
Enhanced Caching - LRU cache with TTL expiration and optional disk persistence
Fully Automatic - PostToolUse hook intercepts tool results
Zero Configuration - Works out of the box with sensible defaults
Dual Mode - Works as Plugin (auto) or MCP Server (manual)
Built-in Metrics - Track token savings locally
Silent Fallback - Never breaks your workflow
Security Hardened - Input size limits, path validation, safe regex, atomic writes

Installation

Option A: Download from GitHub (Recommended) 🌟

Install directly from the GitHub repository (no npm publish required):

# 1. Download the repository
git clone https://github.com/PCIRCLE-AI/toonify-mcp.git
cd toonify-mcp

# 2. Install deps and build
npm install
npm run build

# 3. Install globally from local source
npm install -g .

Option B: Install from Claude Marketplaces (if available) 🌟

One-click installation through Claude Marketplaces:

Browse to Claude Marketplaces in Claude Code and install toonify-mcp with one click when marketplace distribution is available for your environment.

Option C: Claude Code Plugin (Recommended) ⭐

Automatic token optimization with zero manual calls:

Prerequisite: complete Option A or Option B so the toonify-mcp binary is available.

# 1. Add as plugin (automatic mode)
claude plugin add toonify-mcp

# 2. Verify installation
claude plugin list
# Should show: toonify-mcp ✓

That's it! The PostToolUse hook will now automatically intercept and optimize structured data from Read, Grep, and other file tools.

Option D: MCP Server (Manual mode)

For explicit control or non-Claude Code MCP clients:

Prerequisite: complete Option A or Option B so the toonify-mcp binary is available.

# 1. Register as MCP server
claude mcp add toonify -- toonify-mcp

# 2. Verify
claude mcp list
# Should show: toonify: toonify-mcp - ✓ Connected

Then call tools explicitly:

claude mcp call toonify optimize_content '{"content": "..."}'
claude mcp call toonify get_stats '{}'

How It Works

Plugin Mode (Automatic)

User: Read large JSON file
  ↓
Claude Code calls Read tool
  ↓
PostToolUse hook intercepts result
  ↓
Pipeline: Detect → Route → Compress → Evaluate
  ↓
JSON/CSV/YAML → TOON format (25-66% savings)
Source code → comment/whitespace removal (20-48% savings)
  ↓
Optimized content sent to Claude API ✨

MCP Server Mode (Manual)

User: explicitly calls mcp__toonify__optimize_content
  ↓
Content converted to TOON format
  ↓
Returns optimized result

Configuration

Create ~/.claude/toonify-config.json (optional):

{
  "enabled": true,
  "minTokensThreshold": 50,
  "minSavingsThreshold": 30,
  "skipToolPatterns": ["Bash", "Write", "Edit"]
}

Options

View full README on GitHub

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Stats

Version0.6.0

Stars60

Forks10

MaintenanceExcellent

LicenseMIT

Last CommitApr 4, 2026

AddedDec 30, 2025

Actions

View on GitHub View README Plugin Marketplace JSON Homepage

Available In

pcircle-ai30 cascade-ai-ml-engineering

🎯 Toonify MCP

Toonify MCP is an MCP server and Claude Code plugin for automatic token optimization in structured data and source-code workflows.

Structured data: 25-66% token reduction (typically ~48%)
Source code: 20-48% reduction on TypeScript / Python / Go
Docs and setup guides: https://toonify.pcircle.ai/

What's New in v0.6.0

✨ Pipeline Architecture + Code Compression!

✅ Pipeline engine — modular Detector → Router → Compressor → Evaluator architecture
✅ Code compression — TypeScript (37%), Python (48%), Go (32%) savings via heuristic-based comment/whitespace removal
✅ 6 compression layers — from safe (blank lines, inline comments) to aggressive (import summarization, repetitive pattern collapse)
✅ Hook upgraded — PostToolUse hook now compresses source code in addition to structured data
✅ Extensible design — add new formats by implementing a single Compressor interface
✅ Full backwards compatibility — all external APIs unchanged
✅ 196 tests (up from 157), comprehensive code review passed

Features

25-66% Token Reduction (typically ~48%) for JSON, CSV, YAML data
20-48% Code Compression for TypeScript, Python, Go source code
Pipeline Architecture - Extensible Detector → Compressor → Evaluator engine
Multilingual Support - Accurate token counting for 15+ languages
Enhanced Caching - LRU cache with TTL expiration and optional disk persistence
Fully Automatic - PostToolUse hook intercepts tool results
Zero Configuration - Works out of the box with sensible defaults
Dual Mode - Works as Plugin (auto) or MCP Server (manual)
Built-in Metrics - Track token savings locally
Silent Fallback - Never breaks your workflow
Security Hardened - Input size limits, path validation, safe regex, atomic writes

Installation

Option A: Download from GitHub (Recommended) 🌟

Install directly from the GitHub repository (no npm publish required):

# 1. Download the repository
git clone https://github.com/PCIRCLE-AI/toonify-mcp.git
cd toonify-mcp

# 2. Install deps and build
npm install
npm run build

# 3. Install globally from local source
npm install -g .

Option B: Install from Claude Marketplaces (if available) 🌟

One-click installation through Claude Marketplaces:

Browse to Claude Marketplaces in Claude Code and install toonify-mcp with one click when marketplace distribution is available for your environment.

Option C: Claude Code Plugin (Recommended) ⭐

Automatic token optimization with zero manual calls:

Prerequisite: complete Option A or Option B so the toonify-mcp binary is available.

# 1. Add as plugin (automatic mode)
claude plugin add toonify-mcp

# 2. Verify installation
claude plugin list
# Should show: toonify-mcp ✓

That's it! The PostToolUse hook will now automatically intercept and optimize structured data from Read, Grep, and other file tools.

Option D: MCP Server (Manual mode)

For explicit control or non-Claude Code MCP clients:

Prerequisite: complete Option A or Option B so the toonify-mcp binary is available.

# 1. Register as MCP server
claude mcp add toonify -- toonify-mcp

# 2. Verify
claude mcp list
# Should show: toonify: toonify-mcp - ✓ Connected

Then call tools explicitly:

claude mcp call toonify optimize_content '{"content": "..."}'
claude mcp call toonify get_stats '{}'

How It Works

Plugin Mode (Automatic)

User: Read large JSON file
  ↓
Claude Code calls Read tool
  ↓
PostToolUse hook intercepts result
  ↓
Pipeline: Detect → Route → Compress → Evaluate
  ↓
JSON/CSV/YAML → TOON format (25-66% savings)
Source code → comment/whitespace removal (20-48% savings)
  ↓
Optimized content sent to Claude API ✨

MCP Server Mode (Manual)

User: explicitly calls mcp__toonify__optimize_content
  ↓
Content converted to TOON format
  ↓
Returns optimized result

Configuration

Create ~/.claude/toonify-config.json (optional):

{
  "enabled": true,
  "minTokensThreshold": 50,
  "minSavingsThreshold": 30,
  "skipToolPatterns": ["Bash", "Write", "Edit"]
}

toonify

Component Overview

Install

Component Details

Hooks (1)

README

🎯 Toonify MCP

What's New in v0.6.0

Features

Installation

Option A: Download from GitHub (Recommended) 🌟

Option B: Install from Claude Marketplaces (if available) 🌟

Option C: Claude Code Plugin (Recommended) ⭐

Option D: MCP Server (Manual mode)

How It Works

Plugin Mode (Automatic)

MCP Server Mode (Manual)

Configuration

Options

Similar Plugins

real-estate-investment

toonify

Component Overview

Install

Component Details

Hooks (1)

README

🎯 Toonify MCP

What's New in v0.6.0

Features

Installation

Option A: Download from GitHub (Recommended) 🌟

Option B: Install from Claude Marketplaces (if available) 🌟

Option C: Claude Code Plugin (Recommended) ⭐

Option D: MCP Server (Manual mode)

How It Works

Plugin Mode (Automatic)

MCP Server Mode (Manual)

Configuration

Options

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claude-token-reducer