# AVClabs Media

> Use this tool when you need to enhance and restore video quality or segment objects within images using AI-powered technology. It solves problems related to low-resolution video and image processing, providing precise object segmentation and upscaling capabilities. Ideal for media production pipelines, it accepts video and image inputs and outputs enhanced media files through its cloud-based interface.

Canonical page: https://skillsregistry.net/skills/avclabs-media  
JSON: https://api.skillsregistry.net/v1/skills/avclabs-media

## Description

AVClabs Media provides AI-powered video enhancement and image segmentation using SAM3 technology. Connect AI agents to AVClabs' cloud processing for video upscaling, restoration, and precise object segmentation. Supports batch processing workflows for media production pipelines.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/avclabs-media)
- **Repository:** <https://github.com/avclabs/media-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": "avclabs-media"
    }
  }
}
```

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