Toonify
Context compression plugin for Claude Code. Trims large JSON, logs, stack traces, and source files before they enter the context window.
What is Toonify?
Toonify is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to context compression plugin for claude code. trims large json, logs, stack traces, and source files before they enter the context window.
Context compression plugin for Claude Code. Trims large JSON, logs, stack traces, and source files before they enter the context window.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Context compression plugin for Claude Code. Trims large JSON
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx toonifyConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Toonify
Toonify is a context-compression plugin for Claude Code that automatically trims large JSON responses, log files, CSV data, YAML configs, stack traces, and source files before they enter the AI's context window — dramatically reducing token consumption with no workflow changes required. It operates either as an invisible Claude Code plugin (the default) or as an on-demand MCP server, and it uses a compact 'Toon format' to preserve essential structure while discarding verbose repetition. Developers working with APIs that return large payloads, complex build logs, or extensive test output use Toonify to stay within context limits and cut API costs.
Prerequisites
- Node.js 18 or higher installed
- npm 7 or higher
- Claude Code CLI installed and configured
- Git to clone the repository
Clone the repository
Clone the Toonify MCP repository to your local machine.
git clone https://github.com/PCIRCLE-AI/toonify-mcp.git
cd toonify-mcpInstall dependencies and build
Install Node.js packages and compile the TypeScript source.
npm install && npm run buildInstall globally and run setup
Install the toonify-mcp binary globally so it is available on PATH, then run the setup command to register it as a Claude Code plugin.
npm install -g .
toonify-mcp setupVerify installation
Run the doctor command to confirm the plugin is correctly installed and all checks pass.
toonify-mcp doctorEnable as MCP server (optional)
If you want to use Toonify on-demand as an MCP server rather than as an automatic plugin, run the MCP setup variant and add it to your client configuration.
toonify-mcp setup mcpConfirm plugin is active
Check the current status of the Toonify plugin to confirm it is active and compressing tool output.
toonify-mcp statusToonify Examples
Client configuration
Claude Desktop or Claude Code MCP configuration block for Toonify when used in MCP server mode.
{
"mcpServers": {
"toonify": {
"command": "npx",
"args": ["-y", "toonify"],
"env": {}
}
}
}Prompts to try
Example scenarios where Toonify's compression automatically reduces context size.
- "Read package-lock.json and tell me which packages have known vulnerabilities" (Toonify compresses the large JSON before it enters context)
- "Show me the last 500 lines of build.log and identify any errors" (log compression kicks in automatically)
- "Analyse this 3000-line stack trace from our CI run and find the root cause"
- "Read all YAML config files in the /config directory and summarise their differences"
- "Process the test-results.csv and tell me which test suites had the most failures"Troubleshooting Toonify
toonify-mcp: command not found after npm install -g
Ensure the global npm bin directory is in your PATH. Run 'npm bin -g' to find the directory and add it to PATH in your shell profile (~/.zshrc or ~/.bashrc).
toonify-mcp doctor reports a failed check
Re-run 'toonify-mcp setup' to re-register the plugin. If the issue persists, check https://toonify.pcircle.ai/ for version-specific troubleshooting guidance.
Compression is not being applied to large tool output
Toonify skips very short content, files requiring exact formatting, and plain text that does not match its recognised formats (JSON, CSV, YAML, log, stack trace). Confirm the content type is one of the supported formats and that the plugin is active via 'toonify-mcp status'.
Frequently Asked Questions about Toonify
What is Toonify?
Toonify is a Model Context Protocol (MCP) server that context compression plugin for claude code. trims large json, logs, stack traces, and source files before they enter the context window. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Toonify?
Follow the installation instructions on the Toonify GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Toonify?
Toonify works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Toonify free to use?
Yes, Toonify is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Toonify in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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