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Compresto Mcp

Compresto Mcp

Created by dqhieu•6 months ago
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Compresto MCP server

Data & Storage
ComprestoserverMCP

Compresto MCP

A Model Context Protocol (MCP) server for Compresto, providing AI assistants with real-time data about Compresto’s usage statistics.

Compresto MCP server

What is Compresto?

Compresto is a file compression app that helps users reduce file sizes. This MCP server allows AI assistants to access current statistics about Compresto’s usage.

What is MCP?

The Model Context Protocol (MCP) is a standard that connects AI systems with external tools and data sources. This MCP server extends AI capabilities by providing access to Compresto’s usage statistics.

Installation

git clone https://github.com/dqhieu/compresto-mcp
cd compresto-mcp
npm install
npm run build

Manual Configuration

Add the following to your MCP settings file

{
  "mcpServers": {
    "compresto": {
      "command": "node",
      "args": [
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/compresto-mcp/build/index.js"
      ]
    }
  }
}

When integrated with compatible AI assistants, this MCP server provides real-time data about Compresto’s usage.

Available Tools

The Compresto MCP server provides the following tools:

get-total-users

Returns the total number of Compresto users.

Example response: 12345

get-total-processed-files

Returns the total number of files processed by Compresto.

Example response: Processed 67890 files

get-total-size-reduced

Returns the total amount of file size reduced by Compresto.

Example response: Reduced 1234567890 bytes

Development

Prerequisites

  • Node.js (v16 or higher)
  • npm or yarn

Project Structure

  • src/index.ts - Main entry point containing MCP server implementation
  • package.json - Project dependencies and scripts
  • tsconfig.json - TypeScript configuration

License

MIT License

Prerequisites

  • •Familiarity with the server domain
  • •Basic understanding of related technologies
  • •Knowledge of Data & Storage

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Details

Created

June 12, 2025

Last Updated

June 12, 2025

Category

Data & Storage

Author

dqhieu

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