MCP server that reduces LLM context by removing code comments and converting data formats to TOON
MCP server that reduces LLM context by removing code comments and converting data formats to TOON
A specialized Model Context Protocol (MCP) server that optimizes token usage by converting data to TOON (Token-Oriented Object Notation) and stripping non-essential context from code files.
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.
mcp >= 1.25.0 - toon-parse >= 2.4.3Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"toon-parse": {
"command": "uvx",
"args": ["toon-parse-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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A MCP (Model Context Protocol) server to let your MCP clients (e.g. Anthropic Claude App, Goose, possibly vscode Cline too) interact with your local Zotero repository. This server enables…