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Tinypng Mcp Server: Enterprise Compression & Quality Optimization - MCP Implementation

Tinypng Mcp Server: Enterprise Compression & Quality Optimization

Tinypng Mcp Server: Crush image file sizes with enterprise-grade compression—keep quality pristine, boost speed, and slash storage costs. Perfect for teams!

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About Tinypng Mcp Server

What is Tinypng Mcp Server: Enterprise Compression & Quality Optimization?

Tinypng Mcp Server is a robust enterprise-grade solution designed to optimize image compression workflows. It leverages the TinyPNG API to deliver lossless webp compression and quality preservation for JPEG, PNG, and SVG formats. This server-based architecture enables scalable processing of large image volumes while maintaining strict quality control parameters required for professional applications.

How to use Tinypng Mcp Server: Enterprise Compression & Quality Optimization?

Deployment follows a three-step process: first install dependencies using pnpm, then configure the mcp.json file specifying runtime environment variables like API keys. The server can be executed via Bun or Node.js directly from source files. Configuration requires absolute paths for image processing and supports both local file compression through specified paths and remote URL-based optimization.

Tinypng Mcp Server Features

Key Features of Tinypng Mcp Server: Enterprise Compression & Quality Optimization?

  • Production-ready server framework supporting high-throughput image processing
  • Granular control over output formats (JPEG/PNG/WebP) via schema validation
  • Secure API key management through environment variable injection
  • Parallel processing capabilities for batch operations
  • Comprehensive error handling with detailed diagnostic outputs

Use cases of Tinypng Mcp Server: Enterprise Compression & Quality Optimization?

Primary applications include e-commerce platforms needing automated product image optimization, media companies compressing archive libraries, and SaaS providers offering image processing APIs. The server excels in scenarios requiring:

  • CDN-friendly image preparation with reduced bandwidth costs
  • Compliance with web performance standards (e.g., Core Web Vitals)
  • Legacy system integration where format conversion is critical

Tinypng Mcp Server FAQ

FAQ from Tinypng Mcp Server: Enterprise Compression & Quality Optimization?

Q: How does the server handle unsupported image formats?
A: Automatically detects and rejects non-compliant formats via schema validation, returning actionable error codes.

Q: Can it process images over 15MB?
A: Yes, through chunked transfer mechanisms and memory-optimized pipelines.

Q: Is there rate limiting protection?
A: Built-in throttling based on TinyPNG API limits, with configurable retry strategies.

Content

MCP server for TinyPNG

Usage

Use bun or node to run the server

  1. Install dependencies and build
pnpm i
pnpm build
  1. Edit the mcp.json file
{
  "mcpServers": {
    "tinypng": {
      "command": "bun", // or "node"
      "args": ["/path/to/tinypng-mcp-server/src/index.ts"], // or "dist/index.js"
      "env": {
        "TINYPNG_API_KEY": "your-tinypng-api-key"
      }
    }
  }
}

Tools

  1. Compress local image
{
  name: 'compress_local_image',
  description: 'Compress a local image file',
  inputSchema: {
    type: 'object',
    properties: {
      imagePath: {
        type: 'string',
        description: 'The ABSOLUTE path to the image file to compress',
        example: '/Users/user/Downloads/image.jpg',
      },
      outputPath: {
        type: 'string',
        description: 'The ABSOLUTE path to save the compressed image file',
        example: '/Users/user/Downloads/image_compressed.jpg',
      },
      outputFormat: {
        type: 'string',
        description: 'The format to save the compressed image file',
        enum: SUPPORTED_IMAGE_TYPES,
        example: 'image/jpeg',
      },
    },
    required: ['imagePath'],
  },
}
  1. Compress remote image
{
  name: 'compress_remote_image',
  description: 'Compress a remote image file by giving the URL of the image',
  inputSchema: {
    type: 'object',
    properties: {
      imageUrl: {
        type: 'string',
        description: 'The URL of the image file to compress',
        example: 'https://example.com/image.jpg',
      },
      outputPath: {
        type: 'string',
        description: 'The ABSOLUTE path to save the compressed image file',
        example: '/Users/user/Downloads/image_compressed.jpg',
      },
      outputFormat: {
        type: 'string',
        description: 'The format to save the compressed image file',
        enum: SUPPORTED_IMAGE_TYPES,
        example: 'image/jpeg',
      },
    },
    required: ['imageUrl'],
  },
}

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