Compresto

Compresto MCP server

typescript

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typescript

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6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

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

Compresto MCP is a server that lets AI assistants access real-time Compresto usage statistics. It enables dynamic visibility into how many users you have, how many files have been processed, and how much data size has been reduced, enhancing context for AI-driven tasks and insights.

How to use

Connect with an MCP client to start querying Compresto usage data. Once configured, you can ask the AI to retrieve current statistics such as total users, total files processed, and total size reduced. The server exposes simple endpoints that return concise values you can present in dashboards, reports, or conversational responses.

How to install

Prerequisites: Install Node.js (v16 or higher) and npm or yarn on your system.

Step 1: Clone the MCP server repository.

Step 2: Install dependencies.

Step 3: Build the MCP server.

Configuration and usage notes

To run the Compresto MCP server locally, you will use the stdio configuration that starts the Node process and points to the built MCP entry file.

Available tools

get-total-users

Returns the total number of Compresto users.

get-total-processed-files

Returns the total number of files processed by Compresto.

get-total-size-reduced

Returns the total amount of file size reduced by Compresto.