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quokkapix/quokkapix-mcp

by Various

Private browser image workflows for AI agents via MCP

Q

MCP

quokkapix/quokkapix-mcp

Added 13 July 2026

#ai-agents #browser-automation #image-processing #local-first #mcp #model-context-protocol #playwright #quokkapix

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

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.

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
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