# io.github.helloderekg/bytario

> Use this tool when you need to perform various operations on images, PDFs, QR codes, barcodes, data, text, and colors. It offers 40 MCP tools for tasks such as rendering, data manipulation, and text processing, providing a comprehensive solution for multiple use cases. With a wide range of input and output options, it can be utilized in contexts where data and media processing are required.

Canonical page: https://skillsregistry.net/skills/io-github-helloderekg-bytario  
JSON: https://api.skillsregistry.net/v1/skills/io-github-helloderekg-bytario

## Description

40 MCP tools for image, PDF, QR, barcode, data, text, color, and render operations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.helloderekg%2Fbytario)

## 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": "io-github-helloderekg-bytario"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-helloderekg-bytario` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-helloderekg-bytario/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