# avc-test-py-mcp

> Use this tool when you need to enhance videos by creating tasks, tracking status, and synchronously improving video quality with flexible input options, including URLs or local files. It solves problems related to video processing and optimization, providing a streamlined interface for task management and video enhancement. Ideal for use cases requiring efficient video refinement, it accepts video inputs and outputs enhanced video files.

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

## Description

A video enhancement MCP server that supports creating tasks, querying status, and synchronously enhancing videos with URL or local file input.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wa8d605oej)
- **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": "z416479660-avc-test-py-mcp"
    }
  }
}
```

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