# imgpipe-mcp

> imgpipe-mcp — marilynceo-imgpipe-mcp. Use this tool when you need to efficiently process images for AI models, resizing, converting, and optimizing them in batches while maintaining privacy through EXIF data stripping. It solves problems related to image preparation, data anonymization, and computational efficiency. The imgpipe-mcp tool takes image files as input and outputs processed images, making it ideal for use cases requiring rapid and secure image processing.

Canonical page: https://skillsregistry.net/skills/marilynceo-imgpipe-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marilynceo-imgpipe-mcp

## Description

Image processing pipeline for AI agents u2014 resize, convert, optimize, batch. Privacy-first with EXIF stripping.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/marilynceo/imgpipe-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": "marilynceo-imgpipe-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marilynceo-imgpipe-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marilynceo-imgpipe-mcp/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