# ZIP Compression

> Use this tool when you need to efficiently manage and transfer large files, or optimize storage space by compressing and decompressing files directly within a conversation interface. It solves problems related to file handling, data transfer, and storage optimization by providing programmatic access to compression utilities. The tool takes in files as input and outputs compressed or decompressed files, making it ideal for workflows involving file management and data transfer.

Canonical page: https://skillsregistry.net/skills/7gugu-zip-compression  
JSON: https://api.skillsregistry.net/v1/skills/7gugu-zip-compression

## Description

A Model Context Protocol server that provides ZIP compression capabilities using fastMCP and zip.js. This implementation allows AI assistants to compress and decompress files directly through MCP, enabling efficient file handling without leaving the conversation interface. The server exposes compression utilities as tools that can be called programmatically, making it valuable for workflows involving file management, data transfer, and storage optimization.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/7gugu-zip-compression)
- **Repository:** <https://github.com/7gugu/zip-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "7gugu-zip-compression"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/7gugu-zip-compression` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/7gugu-zip-compression/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt