# GPAC Test Suite MCP Server

> Use this tool when you need to access a vast library of validated command-line examples for GPAC multimedia framework tasks, such as DASH streaming and MP4 encryption. It solves problems of finding reliable GPAC commands for specific multimedia processing tasks by providing precise answers to natural language questions. The tool takes in natural language queries and outputs corresponding GPAC commands, making it ideal for AI assistants seeking to provide accurate guidance on GPAC usage.

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

## Description

Provides intelligent access to GPAC multimedia framework's 8,600+ test cases, enabling AI assistants to answer questions about GPAC usage with precise, validated command-line examples. Users can ask natural language questions and get reliable GPAC commands for multimedia processing tasks like DASH streaming, MP4 encryption, and subtitle handling.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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:** [Glama](https://glama.ai/mcp/servers/a2wi7hzom3)
- **Repository:** <https://github.com/PierreDillard/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": "pierredillard-mcp"
    }
  }
}
```

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