# Kinescope MCP Server

> Use this tool when you need to streamline video operations with AI assistance, integrating video platform management with natural language control. It solves problems for content creators, media teams, and developers by automating workflows, managing videos, and accessing analytics through a Model Context Protocol interface. The tool accepts natural language inputs and provides video management outputs, such as metadata updates and performance metrics.

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

## Description

Kinescope MCP Server — Integrates Kinescope's video platform with AI assistants via the Model Context Protocol. Manage videos, access analytics, control live streams, and automate workflows through natural language. Upload, organize, update metadata, view performance metrics, and manage playlists without leaving your AI assistant. Useful for content creators, media teams, and developers who want to streamline video operations with AI assistance.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **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:** [Smithery](https://smithery.ai/server/kinescope/kinescope-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": "kinescope-kinescope-mcp"
    }
  }
}
```

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