# Rembg

> Use this tool when you need to automatically remove backgrounds from images using AI-powered models, solving problems such as tedious manual editing and inconsistent results in content creation, e-commerce, and application development. It takes image files as input and outputs edited images with removed backgrounds, supporting various formats and models for different use cases. With its batch processing capabilities and configurable options, Rembg is ideal for streamlining image editing workflows and improving productivity.

Canonical page: https://skillsregistry.net/skills/holocode-ai-rembg  
JSON: https://api.skillsregistry.net/v1/skills/holocode-ai-rembg

## Description

This rembg MCP server by Cory provides AI-powered background removal capabilities through integration with the rembg library, offering both single image processing and batch folder operations with support for 20+ specialized models including U2Net, BiRefNet, and SAM variants optimized for different use cases like portraits, anime, clothing, and general objects. Built with Python and featuring automatic model detection, configurable alpha matting for edge refinement, mask-only output options, and comprehensive error handling, it supports all major image formats and includes setup scripts for easy deployment. The implementation caches model sessions for performance, provides detailed model descriptions to help users choose the right algorithm for their content type, and handles both CPU and GPU acceleration, making it valuable for content creators automating image editing workflows, e-commerce platforms processing product photos, and developers building applications that require intelligent background removal with fine-tuned model selection.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/holocode-ai-rembg)
- **Repository:** <https://github.com/holocode-ai/rembg-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "holocode-ai-rembg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/holocode-ai-rembg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/holocode-ai-rembg/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt