Toon Parse

About

This specialized Model Context Protocol (MCP) server is designed to significantly reduce token usage for AI agents and large language models. It achieves this by intelligently optimizing code context, stripping non-essential elements like comments and redundant spacing while preserving critical functional structure and docstrings. Additionally, it streamlines data processing by converting common formats such as JSON, XML, YAML, and CSV into the highly compact TOON (Token-Oriented Object Notation) format. A built-in mandatory efficiency protocol further ensures LLMs prioritize these token-saving strategies, enabling more efficient and cost-effective AI operations.

Key Features

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• Optimizes code context by stripping comments and redundant spacing while preserving docstrings
• Converts JSON, XML, YAML, and CSV inputs into the compact TOON format
• Provides a mandatory efficiency protocol resource to instruct LLMs on token-saving
• Tool to process raw text data (JSON/XML/CSV/YAML) into optimized TOON format
• Tool to read and optimize local code files by removing non-essential context

Use Cases

• Enhancing the efficiency and reducing token consumption for AI agents (e.g., Cursor, Claude Desktop)
• Streamlining code and data inputs to large language models for more effective processing
• Implementing token-saving strategies for applications built on the Model Context Protocol (MCP)