quokkapix/quokkapix-mcp

Overview

An MCP server that enables AI agents to execute private browser-based image workflows. It runs a headless browser session to capture, process, or manipulate images, exposing these capabilities via the Model Context Protocol.

Best for

Best for
Developers building AI agents that need private, browser-based image processing workflows

Use cases

• Automating screenshot capture and image extraction from web pages
• Processing images in isolated browser environments for AI agent tasks
• Integrating browser-based image manipulation into agentic workflows

How to use

Install

npx quokkapix-mcp

Tools exposed

• shopify_product_pack
• amazon_white_background_pack
• google_merchant_pack
• etsy_product_batch
• ebay_listing_photo_batch
• walmart_product_main_batch
• tiktok_shop_product_batch
• temu_product_main_batch
• shopee_product_batch
• mercado_libre_accessories_batch
• allegro_listing_image_batch
• newegg_product_image_batch
• meta_catalog_product_batch
• flipkart_product_image_batch
• shein_product_square_batch
• otto_product_image_batch
• trendyol_product_image_batch
• snapchat_ad_image_batch
• website_webp_compress
• webp_compress_batch

Tested with

Claude Desktop, Cursor

Notes

An MCP server that enables AI agents to execute private browser-based image workflows. It runs a headless browser session to capture, process, or manipulate images, exposing these capabilities via the Model Context Protocol.

0 stars on GitHub. Last updated 2026-07-13. Licensed MIT.

Use cases

• Automating screenshot capture and image extraction from web pages
• Processing images in isolated browser environments for AI agent tasks
• Integrating browser-based image manipulation into agentic workflows

Pros

• Runs in a private browser session, keeping image data isolated and secure
• Allows AI agents to directly interact with visual web content programmatically
• Open source and built with JavaScript, easy to customize for specific workflows

Cons

• Requires setting up an MCP-compatible host environment to function
• Zero GitHub stars indicates minimal community usage or validation
• Limited to JavaScript ecosystem; no native support for other languages

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.