# Brainiall Image

> Brainiall Image — com-brainiall-image. Use this tool when you need to enhance and extract information from images, as it provides background removal, upscaling, and visual understanding capabilities. It solves problems such as document processing, data extraction, and image restoration, accepting image files as input and outputting cleaned and refined visuals with extracted data. Ideal for use cases involving image processing, OCR, and table extraction, it streamlines workflows and improves data accuracy.

Canonical page: https://skillsregistry.net/skills/com-brainiall-image  
JSON: https://api.skillsregistry.net/v1/skills/com-brainiall-image

## Description

Background removal, upscaling, face restore, document OCR, table extraction, visual understanding.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-01

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.brainiall%2Fimage)

## Use it

MCP endpoint published by the skill: `https://api.brainiall.com/mcp/image/mcp`

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": "com-brainiall-image"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-brainiall-image` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-brainiall-image/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