How to Optimise and Reduce Your Copilot Premium Request Usage #163104
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TMRomain
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Here is one awesome blog https://changeblogger.org/blog/save-copilot-premium-requests-vs-code |
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I’ve been testing ways to get more out of my Cursor Premium requests and discovered that integrating
tommyth/interactive-mcpinto VS Code is a game-changer. Here’s what makes it so powerful:Instant prompt clarification
When sending a vague, broad or simple request and waiting, interactive-mcp asks follow-up questions on the spot. It might prompt you to clarify unclear points or confirm that it’s understood your intention before proceeding. This ensures each request is precise from the start.
Chaining under a single “umbrella” request
By keeping the conversation alive, you stretch one premium request across multiple steps. Instead of each small tweak consuming a new request, you split a larger task into sub-tasks within the same session. In practice, I often get the equivalent of 1 to 3 requests worth of code modifications while only using one premium request.
Custom confirmation at each step
I added a custom instruction so the AI always asks me for confirmation before wrapping up. That way, I can review results, request adjustments, and avoid premature endings or wasted premium request.
More precise control
Even if you don’t care about preserving premium requests, interactive-mcp gives you tighter control over the AI’s actions. You guide it step by step, reducing surprises and ensuring the code evolves exactly how you want.
Compatibility notes
So far, this shines with Claude 4 or Gemini 2.5. With GPT-4.1 I’ve had a harder time getting reliable code changes, GPT-4.1 often hesitates to apply edits.
Also it dosn't poison the context that would make the AI dumber or less reliable.
In short: integrating
tommyth/interactive-mcpin VS Code lets you refine prompts on the fly, chain related tasks under one request, and confirm after each step more control and efficiency. If you’re looking to squeeze extra value out of premium requests (or simply prefer a tighter feedback loop), give it a try.Also send much love the tommyth and the people working on the MCP, and give your guys feedback.
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