Integrate LessToken's compression capabilities into your Cursor IDE workflow. Use compression tools while coding to optimize prompts and reduce token usage.
Cursor IDE is an AI-powered code editor that integrates with various AI models and tools. By configuring Cursor to use our MCP server, you can access compression tools directly in your development workflow.
This integration allows you to compress code prompts, documentation, and other text before sending them to AI models, reducing token usage and improving efficiency.
Open Cursor IDE and navigate to Settings. You can access settings via:
In Cursor settings, navigate to the MCP (Model Context Protocol) section and add a new MCP server configuration:
{
"mcpServers": {
"less-token-compression": {
"url": "https://lesstokens.hive-hub.ai/api/mcp",
"headers": {
"X-API-Key": "YOUR_API_KEY_HERE"
}
}
}
}YOUR_API_KEY_HERE with your actual LessToken API key. Keep this configuration secure.After saving the configuration, restart Cursor IDE completely. The MCP server will be connected when Cursor starts.
In Cursor, you should now see the compress_text tool available in the AI assistant. You can verify this by checking available tools or using compression in your conversations.
Compress verbose code comments before sending to AI:
You: Can you compress these code comments using compress_text?
// This is a very long comment that explains what this function does
// It has multiple lines and contains redundant information
// We want to optimize it for token efficiency
AI: I'll compress those comments for you.
[AI uses compress_text tool]
Compressed: "Function explanation comment - optimized"Compress documentation before including it in prompts:
You: I need to send this documentation to an AI model, but it's too long.
Can you compress it first?
AI: I'll compress the documentation using compress_text to reduce token usage.
[AI uses compress_text tool]
Here's the optimized version...less-token-compression