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realcrabcut/crabcut-mcp-server

by Various

CrabCut MCP Server

R

MCP

realcrabcut/crabcut-mcp-server

Added 1 June 2026

Overview

CrabCut MCP Server is a TypeScript-based MCP server that provides image segmentation capabilities using the GrabCut algorithm. It exposes a tool interface for developers to remove backgrounds or isolate objects in images programmatically.

Best for

Best for
Developers building MCP-based tools who need simple, algorithm-driven image segmentation

Use cases

  • Automate background removal in image processing pipelines
  • Isolate objects from photos for further analysis or compositing
  • Integrate interactive segmentation into MCP-compatible applications

Notes

CrabCut MCP Server is a TypeScript-based MCP server that provides image segmentation capabilities using the GrabCut algorithm. It exposes a tool interface for developers to remove backgrounds or isolate objects in images programmatically.

1 stars on GitHub. Last updated 2026-03-15. Licensed MIT.

Use cases

  • Automate background removal in image processing pipelines
  • Isolate objects from photos for further analysis or compositing
  • Integrate interactive segmentation into MCP-compatible applications

Pros

  • Lightweight TypeScript implementation with minimal dependencies
  • Follows the MCP protocol for easy integration with MCP hosts
  • Leverages a well-known computer vision algorithm for segmentation

Cons

  • Very early stage with only 1 star and limited community adoption
  • Requires manual initialization of the GrabCut mask for best results
  • No built-in support for batch processing or advanced image formats

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

Pros

  • Lightweight TypeScript implementation with minimal dependencies
  • Follows the MCP protocol for easy integration with MCP hosts
  • Leverages a well-known computer vision algorithm for segmentation

Cons

  • Very early stage with only 1 star and limited community adoption
  • Requires manual initialization of the GrabCut mask for best results
  • No built-in support for batch processing or advanced image formats