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).
Claude Code
> /plugin marketplace add PCIRCLE-AI/toonify-mcp> /plugin install toonify-mcp@pcircle-ai
GitHub Copilot
$ copilot plugin marketplace add PCIRCLE-AI/toonify-mcp$ copilot plugin install toonify-mcp@pcircle-ai
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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).
Skipped for short text, very small files, and content where exact original formatting must be preserved.
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.
toonify-mcp status
toonify-mcp setup mcp
claude mcp list
claude mcp list should show toonify: toonify-mcp - ✓ Connected.
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 rule to your project's agent instructions (e.g. AGENTS.md):
When a command is likely to print large JSON/YAML or long logs,
pipe it through `toonify-mcp compress` (e.g. `curl ... | toonify-mcp compress`).
It only rewrites output it can compress losslessly; everything else passes through.
toonify-mcp setup codex
Registers toonify as an MCP server in ~/.codex/config.toml (a timestamped backup of the file is made first). Codex can then call the optimize_content tool on demand.
Note: on Codex this is on-demand, not automatic — Codex's hooks cannot yet replace tool output the way Claude Code's updatedToolOutput does, and appending a compressed copy would grow context instead of shrinking it. For automatic compression on Codex, use the pipe filter above.
Stars on GitHub
View @pcircle-ai’s profileGives Claude Code and Codex a shared local memory so they remember your preferences, project decisions and lessons from past work across sessions. It also includes a skill to review and clean up the memory database.
@pcircle-aiA development methodology for coding agents that makes the agent brainstorm before building, follow plans, run parallel work and finish branches in a disciplined way. You get fewer skipped steps and more consistent results from your coding assistant.
@obraHelps you take a change from a rough idea or bug report through to a tested, reviewed result, with each step handled by a focused skill. Its skills cover pinning down domain terms, designing module interfaces, diagnosing hard bugs, and reviewing changes against your repo's coding standards.
@mattpocockGives your coding agent a planning, testing and review routine to follow on every task. It plans before building, checks changes with tests, has a fresh reviewer look for regressions, and saves repeated wins as reusable skills.
@affaan-mDeveloper tools for working on the React codebase itself. Provides skills for extracting error messages, managing and debugging feature flags across release channels, running Flow type checks, and fixing lint and formatting issues before committing.
@facebookContext 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). Install it with the command on its page. Free and open source.
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