# Image-Edit-RMCP

> Use this tool when you need to enhance traditional language models with image editing capabilities, enabling them to "see" and process visual data through a comprehensive Model Context Protocol service. It solves problems in computer vision and language model integration, providing a Rust-based interface for text-based models to interact with images. Ideal for use cases where visual understanding is crucial, such as image classification, object detection, and editing.

Canonical page: https://skillsregistry.net/skills/factruesolin-image-edit-rmcp  
JSON: https://api.skillsregistry.net/v1/skills/factruesolin-image-edit-rmcp

## Description

Image Edit RMCP is a powerful Model Context Protocol service that provides OpenAI-like image editing capabilities for text-based models. This Rust-based service enables traditional language models to "see" and process images through comprehensive visual understanding tools.

The service offers multi

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y4eh11icpy)
- **Repository:** <https://github.com/FactrueSolin/image-edit-rmcp>

## 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": "factruesolin-image-edit-rmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/factruesolin-image-edit-rmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/factruesolin-image-edit-rmcp/pull`

---
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
