Last updated
March 16, 2026
MCP profile
Github Ankitpal181 Toon Parse Mcp
MCP server that reduces LLM context by removing code comments and converting data formats to TOON
Developer ToolsPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
The toon-parse-mcp MCP server helps AI agents (like Cursor, Claude Desktop, etc.) operate more efficiently by: 1. Optimizing Code Context: Stripping comments and redundant spacing from code files while preserving functional structure and docstrings. 2. Data Format Conversion: Converting JSON, XML, YAML, and CSV inputs into the compact TOON format to save tokens. 3. Mandatory Efficiency Protocol: A built-in resource that instructs LLMs to prioritize token-saving tools.
Capabilities
The toon-parse-mcp MCP server helps AI agents (like CursorClaude Desktopetc.) operate more efficiently by: 1. Optimizing Code Context: Stripping comments and redundant spacing from code files while preserving functional structure and docstrings. 2. Data Format Conversion: Converting JSONXMLYAMLand CSV inputs into the compact TOON format to save tokens. 3. Mandatory Efficiency Protocol: A built-in resource that instructs LLMs to prioritize token-saving tools.
Tools & Endpoints2
What Problems It Solves
- When the server is active
- the AI will have access to the optimize_input_context and read_and_optimize_file tools. You can also refer to the efficiency protocol by asking the AI to "check the mandatory efficiency protocol".
Specifications
Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Requirements
- Python >= 3.10
- mcp >= 1.25.0
- toon-parse >= 2.4.3
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install toon-parse-mcp2
Configure
Configuration
json
{
"mcpServers": {
"toon-parse-mcp": {
"command": "python3",
"args": ["-m", "toon_parse_mcp.server"]
}
}
}Performance
Usage
Quick Reference
- Name
- Github Ankitpal181 Toon Parse Mcp
- Function
- MCP server that reduces LLM context by removing code comments and converting data formats to TOON
- Available Tools
- optimize_input_context(raw_input: str): Processes raw text data (JSON/XML/CSV/YAML) and returns optimized TOON format., read_and_optimize_file(file_path: str): Reads a local code file and returns a token-optimized version (no inline comments, minimized whitespace).
- Transport
- Package
- Language
- Python
- Install
- pip install toon-parse-mcp
- Source
- External (Registry)
- License
- Open Source
Get started
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