# open.video MCP

> Use this tool when you need to manage video content efficiently, as it solves problems related to video platform organization, analytics tracking, and playlist curation by providing an interface to upload videos, manage channels, and track performance through compatible AI clients, with integration capabilities via git. It accepts video files and metadata as inputs and outputs analytics and performance data. Ideal for content creators and managers seeking to streamline their video platform management workflows.

Canonical page: https://skillsregistry.net/skills/open-video-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/open-video-mcp-server

## Description

AI-powered video platform management — upload videos, manage channels, track analytics, and organize playlists through any MCP-compatible AI client

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/open-video-mcp/server)

## 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": "open-video-mcp-server"
    }
  }
}
```

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