# media-mcp

> Use this tool when you need to enhance video quality or segment objects in images using natural language inputs. The media-mcp tool enables tasks like video upscaling and object segmentation, solving problems related to media processing and analysis. It takes natural language inputs and outputs enhanced videos or segmented images, making it ideal for applications requiring automated media refinement and object detection.

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

## Description

MCP server for video enhancement and SAM3 image segmentation, enabling tasks like upscaling videos and segmenting objects in images via natural language.

## 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:** 2026-05-08

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/trg1p42azt)
- **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-mcp"
    }
  }
}
```

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