Compress MCP server

This is a small helper that gives your AI the power to squeeze data down to a much smaller size, and to bring it back exactly as it was. It is handy if you paste long reports, logs or data dumps into your AI and want to keep things tidy and cheap. You do not need to know anything about compression. The helper picks the best method for you.

What this MCP server does

You ask your AI to compress something, like a long JSON reply or a pile of log lines. The AI passes that text to this helper. The helper tries a few compression methods behind the scenes, picks the one that makes your data smallest, and hands back the squeezed version plus how much space you saved. If you ask it to store something, it keeps the compressed copy on your computer under a name you choose, and you can ask for it back later. Everything is lossless, so what you get back is exactly what you put in.

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What you can do with it

• Compress long text, JSON or CSV and see how much smaller it got
• Decompress something back to the exact original
• Check whether a piece of data is even worth compressing before you do it
• Save compressed notes or research under a name and retrieve them later
• List everything you have stored, with sizes and ratios
• See total bytes saved across all your stored items

Try asking your AI

• “Compress this JSON response and tell me the ratio”
• “Is this log file worth compressing? Analyze it first”
• “Store these research notes under the name market-analysis”
• “Show me everything I have stored so far and how much space I saved”

What it gives back to you

You get back short answers in the chat: a compression ratio like 10.2x, a percentage saved, and which method was used. For analyze, you get a plain rating like HIGH or LOW compressibility plus a recommendation. For store and retrieve, you get a key name and confirmation, and retrieve hands back the original text exactly as you saved it. Stats and list give you simple counts and sizes.

Before you start

Who it's for

Anyone who pastes long text, logs or data into their AI and wants to save space or keep notes stored neatly, especially analysts and people working with reports.