# io.github.z416479660/avc-test-py-mcp

> Use this tool when you need to enhance videos through a server-based approach, solving problems such as low-quality video footage or inefficient video processing. It provides core functionality like creating tasks, retrieving task status, and synchronously enhancing videos. The tool accepts video inputs and returns enhanced video outputs, ideal for use cases requiring automated video refinement.

Canonical page: https://skillsregistry.net/skills/io-github-z416479660-avc-test-py-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-z416479660-avc-test-py-mcp

## Description

MCP server for video enhancement (create_task, get_task_status, enhance_video_sync)

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.z416479660%2Favc-test-py-mcp)
- **Repository:** <https://github.com/z416479660/avc-test-py-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": "io-github-z416479660-avc-test-py-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-z416479660-avc-test-py-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-z416479660-avc-test-py-mcp/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