# Mux Video and Data Platform

> Use this tool when you need to manage video assets, track performance metrics, or analyze streaming data through a programmable interface. It solves problems related to video content workflows, streaming analytics, and AI assistant development by providing access to Mux's video infrastructure through natural language prompts. With inputs including video uploads and analytics queries, and outputs such as real-time data analysis and performance metrics, this tool is ideal for use cases requiring automated video management and data analysis.

Canonical page: https://skillsregistry.net/skills/mux-video-data  
JSON: https://api.skillsregistry.net/v1/skills/mux-video-data

## Description

This MCP server brings Mux's Video and Data platform capabilities directly to AI tools, enabling video upload, live stream management, analytics querying, and access to Mux's video infrastructure through natural language prompts. Built by Mux using Node.js with support for Claude Desktop, Cursor, and VSCode, it provides tools for video asset management, real-time data analysis, webhook handling, and performance metrics tracking across Mux's Video API and Data API endpoints. The implementation excludes deletion operations for safety and offers streamlined installation through npx with environment-based configuration, making it valuable for video content workflows, streaming analytics, and building AI assistants that need programmatic access to professional video infrastructure without manual dashboard interaction.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mux-video-data)
- **Repository:** <https://github.com/muxinc/mux-node-sdk>

## 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": "mux-video-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mux-video-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mux-video-data/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