# 5G-MAG M1 Interface MCP Server

> Use this tool when you need to configure 5G Media Streaming sessions using natural language, enabling seamless integration with AI agents. It exposes the 3GPP M1 interface, allowing for automated setup and management of media streaming sessions. Ideal for use cases requiring dynamic, AI-driven media streaming configuration and control.

Canonical page: https://skillsregistry.net/skills/aaronmontilla-m1-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aaronmontilla-m1-mcp

## Description

An MCP server that exposes the 3GPP M1 interface as AI-callable tools, enabling LLM agents to configure 5G Media Streaming sessions through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yyrlfzdelv)
- **Repository:** <https://github.com/aaronmontilla/M1-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": "aaronmontilla-m1-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aaronmontilla-m1-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aaronmontilla-m1-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