# Compresto MCP

> Use this tool when you need to integrate real-time file compression statistics into AI-driven applications, solving problems such as optimizing resource allocation and improving user experience. The Compresto MCP server provides inputs including total users, processed files, and total size reduced, and outputs real-time data for AI assistants to analyze and act upon. It is ideal for use cases where up-to-date usage statistics are required to inform decision-making and automation.

Canonical page: https://skillsregistry.net/skills/dqhieu-compresto-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dqhieu-compresto-mcp

## Description

A Model Context Protocol server that provides AI assistants with real-time data about Compresto's file compression app usage statistics, including total users, processed files, and total size reduced.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fdxowullsq)
- **Repository:** <https://github.com/dqhieu/compresto-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": "dqhieu-compresto-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dqhieu-compresto-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dqhieu-compresto-mcp/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