# Image Processor

> Use this tool when you need to process and display images from various sources, such as URLs and local files, and require automatic compression and formatting for AI consumption. It solves problems related to image retrieval, compression, and formatting, and accepts image URLs and local files as inputs, producing formatted images as outputs. Ideal for applications involving visual content from diverse sources, such as AI-powered image analysis and processing tasks.

Canonical page: https://skillsregistry.net/skills/farhaparveen919-images  
JSON: https://api.skillsregistry.net/v1/skills/farhaparveen919-images

## Description

An MCP server that enables AI assistants to fetch, process, and display images from both URLs and local files. Built by FarhaParveen919, this implementation uses FastMCP to expose a tool that handles image retrieval, automatic compression of large images while maintaining quality, and proper formatting for LLM consumption. The server intelligently processes multiple image sources concurrently, handles various image formats, and includes robust error handling and logging - making it particularly valuable for applications where AI assistants need to work with visual content from diverse sources.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/farhaparveen919-images)
- **Repository:** <https://github.com/ia-programming/mcp-images>

## 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": "farhaparveen919-images"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/farhaparveen919-images` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/farhaparveen919-images/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